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Paper Citation Record · LEDGER

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors

As of 9 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2508.06014.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.06014 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:01:47.480879Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy25
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee462058-ea4a-4ea7-bfa0-9f78b9dd2138 · outbound

This paper cites Dbpedia–a large-scale, multilingual knowledge base extracted from wikipedia.Semantic Web, 6(2):167–195, 2015.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Dbpedia–a large-scale, multilingual knowledge base extracted from wikipedia.Semantic Web, 6(2):167–195, 2015

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.283370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:41.250530Z digest=sha256:c7762ff152145f0d0b6f6e3c597e866933b4832bb895c8f8f8d8213b5678a5c8

Observation 6bd8a235-faf4-4aa4-8be9-f7a1b2910a89 · outbound

This paper cites Yago: A core of semantic knowledge.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Yago: A core of semantic knowledge

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.272867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:41.313865Z digest=sha256:5d3d837780369811043ad1a51c98d44d7b3c0771d60c3a2682e6d339df86e947

Observation a666595d-24c5-480d-a421-1b5d67d62fcc · outbound

This paper cites Language Models as Knowledge Bases?.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Language Models as Knowledge Bases?

Reference 3

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no resolver link, observed 2026-08-05T23:01:41.400044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:41.400044Z digest=sha256:91faf25127d9e256c060880a6f76bffd003bbd3c92915d034bc6196baf32a186

Observation f005479f-06c6-4a41-aa6c-fca922db7304 · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023

Reference 4

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no resolver link, observed 2026-08-05T23:01:41.492421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:41.492421Z digest=sha256:30ebc2e8cdb79527846ab11b8f0f835b4a6233d56d8b8a8b8c937df23772e21e

Observation b35f7116-0e49-4ec6-9873-e4682eed329a · outbound

This paper cites Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models.Advances in Neural Information Processing Systems, 36:44123–44279, 2023.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models.Advances in Neural Information Processing Systems, 36:44123–44279, 2023

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.256826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:41.553417Z digest=sha256:ca4579917baf5fca18f4aad342c65459f5d34f2321b458442e03b732617edac9

Observation 9a5c2095-d3a9-4472-b9e1-c4fa2dc9bd5c · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 6

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no resolver link, observed 2026-08-05T23:01:41.622165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:41.622165Z digest=sha256:3048417f95e469d7fd3a6938509a75421cb077675484eafbddbbd4a6ea1408e6

Observation b5e4f42b-18ce-43f4-a915-e509d513dbd8 · outbound

This paper cites Llm and simulation as bilevel optimizers: a new paradigm to advance physical scientific discovery.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Llm and simulation as bilevel optimizers: a new paradigm to advance physical scientific discovery

Reference 7

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raw_fallback, observed 2026-08-05T23:01:48.247494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:41.710479Z digest=sha256:92f7eaf64e33ff313dab69703bc8fd3b6dc67b5e6a81ddec54b7a09e7031cf96

Observation e7673cd8-b8c0-4bee-bd6c-0edc380a7303 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 8

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no resolver link, observed 2026-08-05T23:01:41.770482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:41.770482Z digest=sha256:0562666b9e978c5d52f5196040adfe0b188e239db7f7d9dfb18999aded219ab8

Observation 30fbed42-5157-40ac-b14a-eeaa3bcee6a0 · outbound

This paper cites Model evaluation for extreme risks.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Model evaluation for extreme risks

Reference 9

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no resolver link, observed 2026-08-05T23:01:41.829098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:41.829098Z digest=sha256:702a608f7d42353d00154bcb194cb918b055fb7c1558cf42bbecf7dc017e2108

Observation cd95070c-0a0a-44cc-8fbf-518fd8ed6869 · outbound

This paper cites A Hazard Analysis Framework for Code Synthesis Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors A Hazard Analysis Framework for Code Synthesis Large Language Models

Reference 10

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no resolver link, observed 2026-08-05T23:01:41.896811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:41.896811Z digest=sha256:2012d3bab445a792250d396072ceebc2b17ae52a41b085bc0d1ed64ee85520af

Observation 9a03de28-b430-4760-8613-f064e935a3bd · outbound

This paper cites KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:01:47.919697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:41.985445Z digest=sha256:e8272a0303008b1468f64ad1e4d44be093ccbfadfdde35f67b25bebefb999424

Observation fb7378d1-785c-455b-a212-e77792a5b232 · outbound

This paper cites Large language models struggle to learn long-tail knowledge.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Large language models struggle to learn long-tail knowledge

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.238616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:42.074299Z digest=sha256:02359d106c800202a8a83fc13946852245231ff9949fe099e3d87c27695fdd33

Observation e15a96db-a0dd-47b1-8040-42271509d9c0 · outbound

This paper cites Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.135251Z digest=sha256:466c07b7191bc743c5bb0a1cb40b82e755ee7a3a062951472f7064dd9f694e67

Observation 067572f3-5f22-40bb-8609-47ba192941a6 · outbound

This paper cites Systematic Assessment of Factual Knowledge in Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Systematic Assessment of Factual Knowledge in Large Language Models

Reference 14

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no resolver link, observed 2026-08-05T23:01:42.192629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.192629Z digest=sha256:457df94a57a3c0090c9a2be440ebb7b71b3fafbb76da4d96b19a9b3856ae1ee1

Observation febc7cd0-1dd4-4187-817a-99f78eccaee1 · outbound

This paper cites How can we know what language models know?Transactions of the Association for Computational Linguistics, 8:423–438, 2020.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors How can we know what language models know?Transactions of the Association for Computational Linguistics, 8:423–438, 2020

Reference 15

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:42.281911Z digest=sha256:eeb7e545438fcc504f9e1440f8ab40fe86b5a649bfa74c8720c5ac14980135fe

Observation 8e326242-97e3-4d0d-ac19-6641b2ff61e4 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors The Internal State of an LLM Knows When It's Lying

Reference 16

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no resolver link, observed 2026-08-05T23:01:42.371138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.371138Z digest=sha256:cbe853b2ab4b5f4d9f7e4b0fc275ce6847ebaf88b2ea3bcd2b18e9054171f804

Observation d8699235-d84f-450c-a427-e552c70d83bf · outbound

This paper cites Estimating Knowledge in Large Language Models Without Generating a Single Token.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Estimating Knowledge in Large Language Models Without Generating a Single Token

Reference 17

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no resolver link, observed 2026-08-05T23:01:42.437120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.437120Z digest=sha256:66d5f5e21ec6bf483ce1b6964a1497712b645cf3eb6a7266629ba86a14084bca

Observation b97ef97c-4cdc-454a-9ea5-b52211b7c0f5 · outbound

This paper cites FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.499314Z digest=sha256:02f2c1a66434969a5cc77413f6b4601e7469b13a8b89b08440c146bb99c306b8

Observation 24a476c3-10bf-4d30-a857-d295a42ec6d3 · outbound

This paper cites Distinguishing the Knowable from the Unknowable with Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Distinguishing the Knowable from the Unknowable with Language Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.589671Z digest=sha256:c1ec687dc6203d9028e406f5f1417d4bda92bbb31c4f7577a9c1c50aa21bc460

Observation fea6b0d7-6016-42c0-bfe3-35fb920baac5 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.717871Z digest=sha256:17a1d98f5e279c43056d9df99de6ea1226b7426960e094b09c74ad44ab180da5

Observation d5c9702d-619f-4e1d-92f1-8b890581dac3 · outbound

This paper cites Estimating the hallucination rate of generative ai.Advances in Neural Information Processing Systems, 37:31154–31201, 2025.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Estimating the hallucination rate of generative ai.Advances in Neural Information Processing Systems, 37:31154–31201, 2025

Reference 21

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raw_fallback, observed 2026-08-05T23:01:48.222186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:42.833575Z digest=sha256:2d6fe3279b63a2d4bac427c5d91cd596badea5aa7a6151ae940e1c7a80067015

Observation 78043faa-2b6a-41ae-a042-1a7af454ee22 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors MTEB: Massive Text Embedding Benchmark

Reference 22

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no resolver link, observed 2026-08-05T23:01:42.926075Z

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source=pdf_text observed=2026-08-05T23:01:42.926075Z digest=sha256:f5d095e90d42b7290b76223d2728d8a6ee1bdae37a7d505e6dfa06d9fa03ae68

Observation e859dd43-9a0f-4203-81a8-3dd1c8f13be1 · outbound

This paper cites Towards Foundation Models for Knowledge Graph Reasoning.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Towards Foundation Models for Knowledge Graph Reasoning

Reference 23

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source=pdf_text observed=2026-08-05T23:01:42.972193Z digest=sha256:00858253fb85aeeee1e121233699c6a58fb0b4b3979dbc5ceaa1fb06bff84d2e

Observation d459a743-4364-42f5-9dd6-2deee0ca27bb · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 24

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no resolver link, observed 2026-08-05T23:01:43.083376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:43.083376Z digest=sha256:42dd77de460147138652205d47ceb040916805bb86885f386df166b4a6fce538

Observation a23de009-cef7-45cd-a05e-fba3d5948003 · outbound

This paper cites Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings.Advances in Neural Information Processing Systems, 37:5950–5973, 2024.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings.Advances in Neural Information Processing Systems, 37:5950–5973, 2024

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.213348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:43.089017Z digest=sha256:66ad89e2d440f04956c75574ae72d886060a44bdf8e62249e77177edfc34f6fd

Observation 709438b9-1aa9-4cff-8f19-751f7633479b · outbound

This paper cites Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

Reference 26

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verified exact
local_arxiv, observed 2026-08-05T23:01:47.801406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:43.134101Z digest=sha256:15b6f06fba9d82e21f1d15459bb9455a50ff7616985b6136cf24248f73567ea9

Observation 197a4ed1-f15b-4ff2-a57f-dd0679fc58db · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:43.188439Z digest=sha256:98c8efd71535d8e11015be6b000b7ea235abf41e14378a22f6bbafd98222ce4b

Observation 2f2fb4a1-b2d8-468c-88f1-b7297ea003d2 · outbound

This paper cites Kgquiz: Evaluating the generalization of encoded knowledge in large language models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Kgquiz: Evaluating the generalization of encoded knowledge in large language models

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.203981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:43.262959Z digest=sha256:b92de9ccbcd8b3a6f77cc7af15782ae1e0f7e907659f97ccd93b5183cc2c59a7

Observation a4e9de40-c045-4465-9987-7d7e234861fc · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.Advances in Neural Information Processing Systems, 36:41451–41530, 2023.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Inference-time intervention: Eliciting truthful answers from a language model.Advances in Neural Information Processing Systems, 36:41451–41530, 2023

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.192951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:43.347728Z digest=sha256:690e067a2ee5274c45a4ff86d1f344992691c8ee3759b08129de9bc64aa33f25

Observation 13f5225a-7461-4407-bdaa-553424ef7b71 · outbound

This paper cites Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?

Reference 30

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no resolver link, observed 2026-08-05T23:01:43.403493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:43.403493Z digest=sha256:7647cfe80257569cd9f3e727f6d9db7cb1d81695a11a5b7e6254d30637745cf5

Observation 1b415eb8-5216-448b-8c77-d5f9725338dd · outbound

This paper cites Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models

Reference 31

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no resolver link, observed 2026-08-05T23:01:43.524922Z

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source=pdf_text observed=2026-08-05T23:01:43.524922Z digest=sha256:66f147d31b7f0860d3c11f2c312e82a5a6487def0e5ed838d5383928b6eac025

Observation ed5d3e93-ad22-4778-91b7-3e0b5e837c3a · outbound

This paper cites Hallucination detection: Robustly discerning reliable answers in large language models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Hallucination detection: Robustly discerning reliable answers in large language models

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.182160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:43.612416Z digest=sha256:fb25de67e8d6e69bb6d34d1e35f2c71f1043926b878a0e1438726a70b50f2d21

Observation 7fbf6929-66ae-49a4-81de-2c32d80b01db · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Teaching Models to Express Their Uncertainty in Words

Reference 33

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no resolver link, observed 2026-08-05T23:01:43.699485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:43.699485Z digest=sha256:95171d00e761d937551276a3bb12136c534c321c3dd4f08a2490c2a1d4e8cd1b

Observation 5047da74-efd7-43d9-a435-04d08691949e · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:43.878549Z digest=sha256:6dcfc7b65fc0d795e75ca587f244a6b4dd07245c485707f85d04a2f5ed57027a

Observation e1abe283-e73a-4a3c-a219-d3a697b635b4 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 35

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source=pdf_text observed=2026-08-05T23:01:44.050653Z digest=sha256:b1e60dfbc4d73aad7174d25e7c6ebaf4074034968cae5fc2ab77c7ccf0ead56d

Observation 2c8740c0-2c15-4fe8-bfc0-09018d9869d0 · outbound

This paper cites V-measure: A conditional entropy-based external cluster evaluation measure.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors V-measure: A conditional entropy-based external cluster evaluation measure

Reference 36

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raw_fallback, observed 2026-08-05T23:01:48.172004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:44.253906Z digest=sha256:2b86a442a43ea694152e0dce72c369e41d51ba2c7ff814357b297a58d2804faa

Observation ebbb7c8f-513e-49a3-a0f4-768a8baeb1d7 · outbound

This paper cites Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation

Reference 37

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source=pdf_text observed=2026-08-05T23:01:44.444213Z digest=sha256:c3521afa52b27d6511d07484489db91f4ec480c54f1ffdf613af5a5e0d3983ad

Observation ecaf698e-819e-4eff-a199-356085900167 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors On the Opportunities and Risks of Foundation Models

Reference 38

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source=pdf_text observed=2026-08-05T23:01:44.586688Z digest=sha256:1a93fe843d1edc567f5e3f65afb10a183f31316e5e10bc187edec5464a5e69df

Observation 9d5c7506-3954-455c-bb1a-898c2755b539 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors LoRA: Low-Rank Adaptation of Large Language Models

Reference 39

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source=pdf_text observed=2026-08-05T23:01:44.744854Z digest=sha256:4cafb8baae4e015ab7624504fdcd13f013f7bb66d10126231c840adfa9929aa2

Observation 4a66d6f7-c036-4434-8e46-46e68066c5c5 · outbound

This paper cites Creating training corpora for NLG micro-planning.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Creating training corpora for NLG micro-planning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.160889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:44.921662Z digest=sha256:45623e2ee0a2b53bf92f5ace634b009cbc6949ed9c4181e27b9703dbf1246d0b

Observation 97d64304-f4d8-4318-b106-73ab361fc172 · outbound

This paper cites The webnlg challenge: Generating text from rdf data.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors The webnlg challenge: Generating text from rdf data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.149858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:45.078544Z digest=sha256:7d7c023d14a51084ac18773df25457f75bbbc971be5a46a25ad7a1c13e18070e

Observation c6f6d9c2-82c3-4d70-92e0-34ad476ba6e2 · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.NeurIPS, 33:16857–16867, 2020.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Mpnet: Masked and permuted pre-training for language understanding.NeurIPS, 33:16857–16867, 2020

Reference 42

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raw_fallback, observed 2026-08-05T23:01:48.140606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:45.211093Z digest=sha256:738d21d484ecbd9f9b73204500b239d2127b7afc2c6cb25c2ba312ef5a9b1529

Observation b37f27a4-0df7-443c-8cb1-7ae5fd03a05a · outbound

This paper cites Nv-embed: Improved techniques for training llms as generalist embedding models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Nv-embed: Improved techniques for training llms as generalist embedding models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.131475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:45.344843Z digest=sha256:375108fd40dab701dd7ae26d39885cef09aa39ea7c8a9b0bf53d7b2bb9872ba9

Observation 3bf62445-ffcd-40fe-8c21-7faee1a801ec · outbound

This paper cites Linq-embed-mistral: Elevating text retrieval with improved gpt data through task-specific control and quality refinement.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Linq-embed-mistral: Elevating text retrieval with improved gpt data through task-specific control and quality refinement

Reference 44

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raw_fallback, observed 2026-08-05T23:01:48.120470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:45.471978Z digest=sha256:903494eaea06ea328c469aed695d6d67274b62c60286df88aa25fc6441c36ed6

Observation 084fd504-809d-44ed-808b-d25783e32e36 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:45.580483Z digest=sha256:faf5f25a099fad506b565912a4f1ea787bc3d3a973aa6db866faa9d4ca447154

Observation 9369135e-7bb2-4a31-b044-932717c744b9 · outbound

This paper cites GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:45.773887Z digest=sha256:5c0bebcbe11d16b873c4604d5360f184a224bc563d85f7f69cd93a8d06131104

Observation 2cfa4e3d-28f7-461d-8759-c66ba4a67c9e · outbound

This paper cites AnglE-optimized Text Embeddings.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors AnglE-optimized Text Embeddings

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:45.913312Z digest=sha256:e0eee592214873f2984fdb2cf536831a929b27726d93ed8f0956e57d203c387f

Observation 64c2c96b-a682-4270-ab13-9521f1196c65 · outbound

This paper cites Mteb: Massive text embed- ding benchmark.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Mteb: Massive text embed- ding benchmark

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.110879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:46.008473Z digest=sha256:bbed6574e51a6c6b900cbca0888a1d7b44f0b2cf9b48dcc19374bfd037159141

Observation 9366cb7a-ea97-430f-aa3c-8b770a36af29 · outbound

This paper cites The Llama 3 Herd of Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors The Llama 3 Herd of Models

Reference 49

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no resolver link, observed 2026-08-05T23:01:46.183726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:46.183726Z digest=sha256:0e8c46c17930a818a470601248e99fe7e2c226be3ceb0fecdf0dfae461da0959

Observation ce7030a2-b99f-43ac-84f0-a9384d07fa09 · outbound

This paper cites GPT-4 Technical Report.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors GPT-4 Technical Report

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:46.357499Z digest=sha256:3e2d277d6663ba2bfcf7e0d3ac0bcc248696d2fb6dd3d89057bc1033f119e154

Observation 06968884-c694-4b80-bb13-737c0b5631d2 · outbound

This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022

Reference 51

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:46.503001Z digest=sha256:6486cec12a7da1a66188f42cf25ebbc33703801f6323d552259f7581a125c819

Observation 39ffcc87-6e22-4c0f-bbc8-72493e279299 · outbound

This paper cites Stanford alpaca: An instruction-following llama model, 2023.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Stanford alpaca: An instruction-following llama model, 2023

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:46.686400Z digest=sha256:c0911593105723ebc3570d131c1df972b5d23fb4036e1df3e2140a37212f4e37

Observation 31b7e6f0-c880-4f7d-9c4b-d42fd08931c2 · outbound

This paper cites Stable LM 2 1.6B Technical Report.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Stable LM 2 1.6B Technical Report

Reference 53

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no resolver link, observed 2026-08-05T23:01:46.837049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:46.837049Z digest=sha256:d0b45360addea4dd366ebb256695dbbf82b425dccf64bff589c9f80626c0d750

Observation b6e8358e-1728-415c-946a-b9d8ef7a6257 · outbound

This paper cites ChatGPT: Conversational ai platform.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors ChatGPT: Conversational ai platform

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.085970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:46.989543Z digest=sha256:2c092b7fd051ceb93972d661bc349803d9976e7dead1ab18059a34865b0e6b56

Observation 65abbb3b-b85d-4628-be8c-da7f90792864 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.See https://vicuna.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.See https://vicuna

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:47.134023Z digest=sha256:113712429c2a4a7bbc509aa1dea1e3b5348f1568e4b1c4a65f0208ca88ab86d3

Observation e0a85a60-6bc8-47a7-aa18-37c4437bdf73 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730– 27744, 2022.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730– 27744, 2022

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:01:47.308368Z digest=sha256:b9e02c58d4a48861c8c7b327f17d31382d2ed2adb05c2b370ac7ea64dd6b48bc

Observation 302f120e-5a5a-45df-9757-9420ab75d639 · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 57

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source=pdf_text observed=2026-08-05T23:01:47.410138Z digest=sha256:baa81c83710d32f67d82eb5caa956c031f9bc6b90d9c885efb8456a51a7fede9

Observation c1f7cb07-5275-4496-9d89-10e2dcc9633f · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.415223Z digest=sha256:8096adee411f640b3500e760ad2e0556edc8b96b44217340d441e3d5db8e8a51

Observation 0ea83d52-1ec4-480d-b6e7-305b8ea2c688 · outbound

This paper cites Sparse autoencoder.CS294A Lecture notes, 72(2011):1–19, 2011.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Sparse autoencoder.CS294A Lecture notes, 72(2011):1–19, 2011

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.419593Z digest=sha256:be0499b5d87a2a9bf580372a951d128ba6596147cab1558bd8a6800454ca0932

Observation 5a19e2ca-fe04-4979-aa2a-b105f0bbeb6d · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.423261Z digest=sha256:4460e4f24f11fb700eae8b0a61c05d4f3f0fff9168a1df5dd18f871d0f1bc3e8

Observation 67cf3b3e-6326-4b33-8383-008287565717 · outbound

This paper cites Explainability for large language models: A survey.ACM Transac- tions on Intelligent Systems and Technology, 15(2):1–38, 2024.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Explainability for large language models: A survey.ACM Transac- tions on Intelligent Systems and Technology, 15(2):1–38, 2024

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.058119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.426436Z digest=sha256:b1eb509e9c4f3f0091100a80f991ddfe6a4532d889950e729b0366ce2e52acc4

Observation 414eea87-ec99-42cd-9efc-ef0ec1564d80 · outbound

This paper cites Investigating the Limitations of Transformers with Simple Arithmetic Tasks.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.429327Z digest=sha256:e095c050a81b744e9e01a31873e302477b6915ea585142b56a1dc37f16f50a2d

Observation 2d073216-1248-46df-8b05-38a376255ec3 · outbound

This paper cites Understanding Addition in Transformers.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Understanding Addition in Transformers

Reference 63

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no resolver link, observed 2026-08-05T23:01:47.432900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.432900Z digest=sha256:f863a86beee378e65ebd11f801cfd7d425f372703abe5ff434d998b18710d151

Observation a6f1fbf8-d777-4ae6-bb06-eb980175d52e · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Generalization through Memorization: Nearest Neighbor Language Models

Reference 64

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no resolver link, observed 2026-08-05T23:01:47.435803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.435803Z digest=sha256:f39eb57febc619c72967607d25021379cbdee0c554c8bac8fedc447f5c2ccc46

Observation b632d8df-e24c-415b-8b8c-a9f90db732e9 · outbound

This paper cites Retrieval augmented language model pre-training.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Retrieval augmented language model pre-training

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.438574Z digest=sha256:dc09cf5ca32ff5c384123b0e6315f78d321e87a417979c0984ec95337eb6b24c

Observation c3ecd7d5-58e8-4cd5-b6a4-323afd477f18 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.NeurIPS, 33:9459–9474, 2020.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Retrieval-augmented generation for knowledge-intensive nlp tasks.NeurIPS, 33:9459–9474, 2020

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.039245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.441298Z digest=sha256:155909922156fcfb9e5feb6c0970284eef569b71f96bb5f972a51ef8553b666e

Observation ea256754-e80b-4177-9297-249bf1a8c6e8 · outbound

This paper cites Compact: Compressing retrieved documents actively for question answering.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Compact: Compressing retrieved documents actively for question answering

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.027324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.443894Z digest=sha256:c317091ee151f2573da3bc89b2e13e4da38af7f7f1fb9e33b2ae7120dc555c5e

Observation 7c0b50a7-3485-40eb-bf67-51deba3f6762 · outbound

This paper cites Lift yourself up: Retrieval-augmented text generation with self-memory.NeurIPS, 36, 2024.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Lift yourself up: Retrieval-augmented text generation with self-memory.NeurIPS, 36, 2024

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-05T23:01:48.015439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.446391Z digest=sha256:f0e101ab405d7ddcb448eaca008dbd4b4931ca1c8c49f9ead7c6ee5dcd0f81f6

Observation a14de9cf-0dc6-4d54-bb3c-cc829fe2cef2 · outbound

This paper cites Recomp: Improving retrieval-augmented lms with compression and selective augmentation.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Recomp: Improving retrieval-augmented lms with compression and selective augmentation

Reference 69

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raw_fallback, observed 2026-08-05T23:01:48.003669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.448849Z digest=sha256:6d975eeaeebc777b096db3c66a58c879ddf6b2adad6b86ecbb7a2663f998e610

Observation c4296152-11e7-4b14-811f-77ec64f5c1bb · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.451336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.451336Z digest=sha256:d7b88a17bbfaf92d6fbce0d9b44db3cdca0041204c07e35c488de76d585bd4ec

Observation 537f8a97-7c78-4931-9696-a6be454562e3 · outbound

This paper cites Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.454295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.454295Z digest=sha256:757d9531825e51efcbb55b60ed7296c0c3632b2e76916d88c2200fb145d98117

Observation af6c187f-24a0-4896-ac8b-3c50cae8ba4b · outbound

This paper cites Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.458095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.458095Z digest=sha256:99baefa0e7382a7e04ae4c0875376be0e17591013c6bd2a7244cf4f7aeec5c22

Observation 8ea5a489-343c-4ab0-9337-3f2a35b1254e · outbound

This paper cites BERTnesia: Investigating the capture and forgetting of knowledge in BERT.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors BERTnesia: Investigating the capture and forgetting of knowledge in BERT

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.461156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.461156Z digest=sha256:384641b351ea702a0e065abb4c0d927ba43da32418e4ddd061974c497f87f7ab

Observation 4e902356-07f3-4797-a909-935b5e849a11 · outbound

This paper cites How Much Knowledge Can You Pack Into the Parameters of a Language Model?.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.463993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.463993Z digest=sha256:1751ee4a2d622412a551e5b36037e54706b8576ce07e04d1abc272b279124f65

Observation 9b1e3aef-b6a2-4555-b920-a8721797259b · outbound

This paper cites Locating and editing factual associations in gpt.Advances in Neural Information Processing Systems, 35:17359–17372, 2022.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Locating and editing factual associations in gpt.Advances in Neural Information Processing Systems, 35:17359–17372, 2022

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:47.992245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.467194Z digest=sha256:02b3fddcec953d2ff7926f8c4e2675b4da5af5e7458197317973630ebcfa5b22

Observation ab259c93-ef07-4956-8a67-bfc3fe572476 · outbound

This paper cites Challenges with unsupervised LLM knowledge discovery.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Challenges with unsupervised LLM knowledge discovery

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.470306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.470306Z digest=sha256:c4395c136c28203c3377581f0c1c84588d5013d5b9392d8530c4a28bef02dd70

Observation 65f6ac6a-b910-44d4-9ee1-47a05880e55f · outbound

This paper cites Fast Model Editing at Scale.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Fast Model Editing at Scale

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.474276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.474276Z digest=sha256:537c84b83a67292aafe02e8a18ae3b6e547455157a2da9d6d25d016f64b0375c

Observation c76837de-d13d-4fc7-bdfa-518549498de4 · outbound

This paper cites Propa- gating knowledge updates to lms through distillation.Advances in Neural Information Processing Systems, 36, 2024.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Propa- gating knowledge updates to lms through distillation.Advances in Neural Information Processing Systems, 36, 2024

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:01:47.981839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:01:47.477163Z digest=sha256:c042bb1f29430c33f13b7af091f4b6c994a4bea21df4cd5e0cc827b42e65d1b5

Observation ce529f1f-6fa6-42f4-bf57-55f72142c929 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:47.480879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:47.480879Z digest=sha256:a153dbb5a7d8253f24a399eace877ae319079dd6469c5ed8406107c8b2f80957

Pith citing papers

No inbound Pith citation observations are available.