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Paper Citation Record · LEDGER

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2105.03011.

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

pith.paper-citation-record.v1
2105.03011 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:45:56.788603Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88345dd2-6f3a-4fc2-9421-b29b9ebe7cf5 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.649669Z

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=2026-05-24T05:10:25.171044Z digest=sha256:b91add52c08876a8bc5074e2dd201338ac978eba03a91fd1849ecc6037e36fce

Observation d89d9c35-0eb5-474d-980a-9dfac4060b61 · inbound

SnapKV: LLM Knows What You are Looking for Before Generation cites this paper.

SnapKV: LLM Knows What You are Looking for Before Generation A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:57:43.182068Z

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=2026-05-13T12:57:43.036674Z digest=sha256:d9291856205ece97cabe001a837eae386f66adf2fb9ee117872d6f3fae0af5bb

Observation 045b2a96-9a3a-4eb3-831c-b90c51bcdeb6 · inbound

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference cites this paper.

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-17T11:16:32.038376Z

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=2026-05-17T11:16:31.904921Z digest=sha256:4277f7faa33a71189b2ee430e356c9a088d502d3e06361a93423a089c50bf371

Observation 5dae1fef-48de-4e9c-adad-1ddd44491fad · inbound

CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective cites this paper.

CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T00:45:56.788603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:45:56.788603Z digest=sha256:8eae72665b32157db9ccd7be49c00766343073f88cd5e984b65c103ccf0269ad

Observation 9c1b9472-4040-40b8-a965-e6f115cdefa1 · inbound

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM cites this paper.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:01:48.612925Z

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=2026-05-22T16:58:11.105511Z digest=sha256:ece36732f2fd90872bf41f782144ae18b975ae5a159a89d87bdceae4a5494008

Observation cd370a05-548a-486d-9101-e88720774321 · inbound

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains cites this paper.

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:47.281030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:14:47.281030Z digest=sha256:4e57b0e30fa9c4f9a9b2a93cba1120bf5bbb1582bf60f1ec28baf43b758a343e

Observation 8a7c6963-eff7-4850-a186-5dd6d529b73d · inbound

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools cites this paper.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:36.717482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:27:36.717482Z digest=sha256:1a5d9650c80d478c1fd6bfc9c8caf9c99f6c0188f97859b17bc3c894a011407a

Observation ba496232-3922-45ee-8365-bf79c5212f87 · inbound

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training cites this paper.

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:12.739193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:30:12.739193Z digest=sha256:32f90cf9f6d20ea6ef909f7c48fd64c5b857914877db412e981ac836ba80ed4c

Observation f8e2460b-966a-481e-8e54-f318882dba1f · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:28.022738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:28.022738Z digest=sha256:37656d72e99ceaafff6c934aae1c091acea2de825e41596f1f359424de1e05c2

Observation 8ac89577-5801-4448-867b-2d49801cdbd8 · inbound

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems cites this paper.

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T09:22:15.989908Z

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=2026-05-19T09:20:12.827871Z digest=sha256:bb505e0b204e49c2f2dbc6b8613257fe985b785a88682da6a39516a609731f4c

Observation e72e4600-702a-421d-b460-bf671fe7bd72 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:19.418439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:19.418439Z digest=sha256:260fbe184319c5775d695d8d023cb57e9079c4952c83c9b1a1ed6490635d879d

Observation 1b64cb96-4555-4e9f-96da-9b6ea86f7653 · inbound

Learn from the Past: Fast Sparse Indexing for Large Language Model Decoding cites this paper.

Learn from the Past: Fast Sparse Indexing for Large Language Model Decoding A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:38:37.206520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:38:37.206520Z digest=sha256:b8ea7da81f0bb48de30d2e632b7953d35191b0ffc623442b318520076c1a1bb6

Observation 7dd86d35-c3e6-4cf9-9db4-afdb922434d9 · inbound

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment cites this paper.

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:42.472194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:28:42.472194Z digest=sha256:52b9686eac20192ec1f83775064963b623893e71cb0bd28857e4e72c379fdccb

Observation 62a45af7-d2ef-4231-a1be-44267625b897 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:56.571685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.571685Z digest=sha256:72557df4f5334f82ca01ccab4be1f1971a59a47e547dcf6539d962926de08da1

Observation 37cbf49c-db58-4e75-af9c-8ae6ddfb1516 · inbound

LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference cites this paper.

LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:12.756632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:12.756632Z digest=sha256:932f7de381e4f16ccf90893c27462f92dd717e103ebc98b698df310c1c3c4559

Observation ec308ccb-9307-418f-9fd5-99d644a6f333 · inbound

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference cites this paper.

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T10:16:13.039505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:16:13.039505Z digest=sha256:068650345e43e460fd76e80ddc1865ec822a969b41a934ae4f088b3493d7bb64

Observation 810b53f4-f334-4c7a-ada2-9f7dc9e9efd8 · inbound

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models cites this paper.

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T05:36:53.181540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:36:53.181540Z digest=sha256:caeb0c58cabfc0b0c8c8ebf5a53e64d8d69c2ca80b4e3f944222b424636c570f

Observation 97110207-a1d0-4143-a3e6-5a3e99adea6f · inbound

EvolKV: Evolutionary KV Cache Compression for LLM Inference cites this paper.

EvolKV: Evolutionary KV Cache Compression for LLM Inference A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T20:53:27.975894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:53:27.975894Z digest=sha256:d7dcdbcacc164e5139b26124fa863e51d41b1db5771d4a68f5c619b58ff5adf3

Observation 69c86254-93a0-4a9e-88ac-6413c861f99c · inbound

Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG cites this paper.

Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T16:31:20.904315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:31:20.904315Z digest=sha256:e3b8b06d61eec9f1809c93639ad3f7115878e3f0716fc54200e5b2621312c0de

Observation 54caab75-9f30-45a6-96d1-3607deb7f806 · inbound

Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse cites this paper.

Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:47:37.228305Z

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=2026-05-16T08:47:29.236561Z digest=sha256:a194d0bad9ad8da766ca8280a194206ac356c4fe3f04db92c5be3a7a531e3ab6

Observation bd88b558-4595-4229-848b-c0500f6eaa13 · inbound

Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse cites this paper.

Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T05:50:22.718140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:50:22.718140Z digest=sha256:4d5317b453904e73f4e40d876e812f3a7e0f1cebe8a8b576897765e665352ee9

Observation 8dd649b1-44fe-4b5f-88b2-1dd944e41c55 · inbound

CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation cites this paper.

CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:34:11.394426Z

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=2026-05-21T13:32:15.598047Z digest=sha256:a5c5439fc2ccadfebfcd6f973b2cb3ba224e7178ca3844746bd4387967638e85

Observation 0e8159d1-24c5-4dc0-969b-9261cdf8b67a · inbound

CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation cites this paper.

CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T03:16:19.863041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:16:19.863041Z digest=sha256:d7378d2d77831cb525663c489a784ded0b43c70274da7504a535eeae92db6070

Observation 532c1e2a-b810-43d6-baaa-5f5ad90f1013 · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.629746Z

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=2026-05-10T06:29:24.974157Z digest=sha256:d0a4f38672becb4ce79d49cda4429ea59b3e2190411e955a34cdb896715b2acb

Observation 2ae9d39d-0219-4286-97f0-1711dfa3e39a · inbound

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search cites this paper.

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:16:20.866539Z

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=arxiv_source observed=2026-05-10T06:15:11.432788Z digest=sha256:59c2a60eb79faf6f74e025d8aea9e9db8542fed7ed4a10fc63daadd5a8a0c84c

Observation 1f62358e-b3c0-487a-b2bd-ff72219f1276 · inbound

Peerispect: Claim Verification in Scientific Peer Reviews cites this paper.

Peerispect: Claim Verification in Scientific Peer Reviews A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:28:39.087858Z

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=2026-05-10T05:18:52.029782Z digest=sha256:91d56699a6ff35ea6ddc08343572aaf3fb4bd82ceff90405e3f348598e469296

Observation e14559db-01bd-4e7f-a731-835626533ed8 · inbound

AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery cites this paper.

AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:31.692437Z

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=2026-05-07T16:38:40.938722Z digest=sha256:020bbafcfdf17634ae9ab6f79df4de6b2e64f867be7cc370348474190010a29a

Observation 36571ff3-7b77-4bfc-9885-08aa9e157655 · inbound

Reformulating KV Cache Eviction Problem for Long-Context LLM Inference cites this paper.

Reformulating KV Cache Eviction Problem for Long-Context LLM Inference A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:10:53.488617Z

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=2026-05-11T02:37:52.545943Z digest=sha256:467ef457f55bce627e59e6875d27af0f12a7968a340a5129e4d2e0cffa77d453

Observation 9a6cf918-76fb-4271-9a41-fd49e8fef75b · inbound

KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving cites this paper.

KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:51:26.972048Z

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=2026-05-12T03:57:30.104609Z digest=sha256:1246846a1f9afd3b03af4eea95689024f61fd8a88e1ff5097f1c38904c448d20

Observation 45c34cfd-1f1b-43be-8ebd-71cb94f1df0a · inbound

KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving cites this paper.

KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:15:32.426788Z

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=2026-07-01T08:05:44.256565Z digest=sha256:06044a2b2a1be801749793fecfcf9d763dedc08ef5f78896e82f1659857b87c7

Observation 3fcf134c-4433-45e1-a306-55d1835a4540 · inbound

ASTRA-QA: A Benchmark for Abstract Question Answering over Documents cites this paper.

ASTRA-QA: A Benchmark for Abstract Question Answering over Documents A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:56:18.807395Z

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=2026-05-12T02:55:27.176441Z digest=sha256:6293e567822f7691f055244ac8e2d6191e6066776c072ddcf9993325ad5fdca8

Observation 44f12297-c37d-45e0-b4e0-bd80302e12e7 · inbound

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews cites this paper.

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:36:25.322874Z

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=arxiv_source observed=2026-05-12T04:09:12.888541Z digest=sha256:16ce77059d5065535cd2fe5098f59b9f4a65771d03d0d9f7713118990edc79ab

Observation fd88ca6f-96e8-4d8e-a6a1-7bca71849491 · inbound

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse cites this paper.

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:42:59.109476Z

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=2026-05-14T20:23:34.514071Z digest=sha256:ed21237825a686d025d69d283825d71d6ebb3703c6b067a43d964d959b82a025

Observation c7000774-abbb-480d-a406-0a8e55cac429 · inbound

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse cites this paper.

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:55:04.179248Z

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=2026-05-15T04:51:17.519200Z digest=sha256:267663169e4a7eb130343d076f812ccf96fddd5b583d15be1441b01b380fc4b8

Observation 847d3dba-0e0d-4009-925b-d3f86049fe30 · inbound

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations cites this paper.

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.509615Z

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=2026-06-28T18:39:29.196528Z digest=sha256:f38c1d65d7c45765ee128321d666ef94f710f06881fe9a063f152282fc9184d3

Observation ea104eac-da18-4f8e-a1d3-b9c7cddcd5b5 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:26.739012Z

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=2026-06-28T10:56:13.058872Z digest=sha256:8214e598bb4aa5ca3e5cab98765d946639cd9b9ebb4be94ffba4fe13a4f40cf3

Observation c8698c2d-cfb8-4c1b-98e3-1d4292c4808a · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:44:25.325808Z digest=sha256:9fdbd54517afecda2b10aa0487bf830f59a209616d40a71f200bc4f064bd1209

Observation a63b9420-27c1-4613-8cbd-32e24556b250 · inbound

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:34.919973Z

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=2026-07-01T08:49:28.538659Z digest=sha256:83862ae35f81de4b285da0933b27b13e02a9c613426fce9878e125a835e6daa2

Observation 815557ea-f422-48a5-928a-652f3103bcd4 · inbound

PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset cites this paper.

PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T08:20:44.931764Z

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=2026-06-27T08:15:24.364818Z digest=sha256:49a2e9ec05f88ed4777f607491ce72980c6e4951512bfb579b546d4fa032bcac

Observation c76d55b4-4c5c-4fef-8d93-a65d8bbb9f56 · inbound

Coverage-Driven KV Cache Eviction for Efficient and Improved Inference of LLM cites this paper.

Coverage-Driven KV Cache Eviction for Efficient and Improved Inference of LLM A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:24:21.292887Z

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=arxiv_source observed=2026-06-30T07:19:48.530272Z digest=sha256:16973377177acba7ddfbfe6eeba7a7b723b93617fc808fcfc41be5bd8d193743

Observation fb2045ee-01e7-4f47-a874-3bfe7e706bf3 · inbound

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition cites this paper.

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T02:55:23.363614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:55:23.363614Z digest=sha256:d6fda81284d5c581fd02c9e917904ee71a137542373a0a4d047df65201751792

Observation ebb9345c-c937-44ce-9c33-2ae149964e2c · inbound

TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning cites this paper.

TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T21:59:41.117398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:59:41.117398Z digest=sha256:dc3b61abd18ec338a87ed34d666acd85cc151d1fdb54176920ba96c167ee245f