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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 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 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:52:48.632269Z

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:df3d450d053401897b66d517a043276b2734997080aafb96aece96273d0fe565

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T12:57:43.036674Z digest=sha256:c806459ebf35e90b412ffd37f26bc5b41bd854ec3e807d8a2b02e1b51ec1a7a5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T11:16:31.904921Z digest=sha256:85f144f2b44b5f56eb9c1036662524cc8cb85037770df9fc8ce71e322d9cba56

Observation 319992dc-705e-44b7-a0e3-c735e20097dd · inbound

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression cites this paper.

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T13:52:48.632269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:52:48.632269Z digest=sha256:0296fc61966366f7e5c56a85019046b086276d100afeee647d049e774ec1f17a

Observation 8f2ee744-cd52-4df2-bab6-34c6e73cd618 · inbound

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs cites this paper.

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T11:57:17.887697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:57:17.887697Z digest=sha256:5ee2f961815a90ac9c113dabd06be7b6dec6ad88ee32c7b3b86a0be17179062a

Observation 3e7256c3-65d4-43f1-ba92-0b43cbce1cf7 · inbound

SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval cites this paper.

SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:32.303386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:32.303386Z digest=sha256:2a77042c6a168fbf74076bfd87741de902e684a3c3f3dfa9dd094b843bdfe248

Observation 8de56e49-ed36-4cce-ada8-010228f1d7db · inbound

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective cites this paper.

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:14:27.767436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:14:27.767436Z digest=sha256:5d8aa88239257343a923f6245d6a5fbe8f4ad49301021b94ecdd1d1bac5b4bc8

Observation 55e611ed-2dce-4163-ace3-02824524d6e8 · inbound

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads cites this paper.

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 31

Resolution
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no resolver link, observed 2026-08-10T14:41:05.103927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:41:05.103927Z digest=sha256:a668b50883bb45f1d57db00870475fc7d580e74bd92cd104eab674919cd5fdb2

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=sha256:95e8a9033e7180aa22ca65f4a472a2b7da62792d64008cca16810fa5c9c31ff0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T16:58:11.105511Z digest=sha256:1aa9c604d296e604e1ba5ac4c85be6ceb1cd32d935617f798b3c726651d7c280

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:b3761bf84ff275a467452832c2c2a5c54df515233257eea15568438a0aedd777

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=sha256:8d8e7919ea89a5fed4640562faf4fd47de84670e7e1e4c73c0d9762f5fc79ef8

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=sha256:793a4c9261b681b2de30fc1b1b4b3112fb44daf978602d7421fe654c7dd6b818

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=sha256:15e6f384b57e49b52cf27f7394c760c2aaf125bf984bea2f4f5ad92d1cf23324

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T09:20:12.827871Z digest=sha256:b5c2756b7be8fa85b4165b1cfa7f5ecf8773425ff9ece4f9d23338e7ce12a692

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=sha256:6db97b21ff57c6952867e8846f92c3eeb852566185b8127e63446c471647d5e0

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=sha256:808615c685e25835cb5f7bfe652067ded016f9723c64ba087323e95d894e274d

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:b2f6faf72b10d2b38efa59f413df6950313a47e732c20b3145655a05a62f8da7

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=sha256:31680ebb25703aa687123568d6ea9bd305571e8bc850d3d4822ac7d5f012fe1b

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

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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=sha256:4922e52d1b800bd7b18c5d6956fd0baf4a34dcf699ee427947b1d0c44493b43f

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

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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:defc5bb1e87034e5e3b6a05b44feea9737fa9a3633169c1839c1ef8a51d85e85

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

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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=sha256:44cbe2c63b881c4517ab3c0573912a9dad059e71a86436610ffe695258be8d05

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:d2c7a62bd7347072a5576cff1230b8d9d5f3aa430f2917cdb9e8c6641c28ec66

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:bb1ea42dbbacbc040aea4d65bf44983b7b7e97031c40fc793b08b4401205e4d5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T08:47:29.236561Z digest=sha256:1dced03dc5f70756f327d6311b4d72dce63380abb301e4cc064f148a49c43112

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=sha256:83b59a19c3a54981cde5db7bcbdc70a47dc680194016c39144b6f81f215310b9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T13:32:15.598047Z digest=sha256:0f7de703348a9b7ba0b96f75b5c18b41156bb6a566721a6613c1bb51e8f74832

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=sha256:230034a4b1c59795a01fe8ace0d4cb2e602e6d9365ab3938e5ee10e3a69df097

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T06:29:24.974157Z digest=sha256:a57e5fa3989567e572c45e2aeaa4899fa23fd839fb04581028f2eca1cd27c581

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:15:11.432788Z digest=sha256:cf3455e89601ac5206a9a8957ddae7a7b194c4393d58a4996209c674ae3c5603

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T05:18:52.029782Z digest=sha256:79e5ca4d225280b8b039c2f04d49e14c0d62018503e607060a0c9f51693050d6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:38:40.938722Z digest=sha256:475efb0e2d3164ed970b4f4ff0a75261a93bef5580576263ea2e8dd4cdbb8149

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T02:37:52.545943Z digest=sha256:b717a8cee34a7e758b73db303ad6d7c45ee01093b34ef453186e945f1d4d60ed

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T03:57:30.104609Z digest=sha256:32a847b319aa901cd02b13506fed363c382915b6745965e984912c6057ad6efd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T08:05:44.256565Z digest=sha256:c4caf662f8ce8d30ed95509596e118437357fbc23e8545c89055277e5eb9a7c8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T02:55:27.176441Z digest=sha256:2f4db99014be42849a66562c42f8803c515f59bfc0d26a2d0645a2484a21ecbf

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-12T04:09:12.888541Z digest=sha256:e568668f12f36a161a1db089dbd1348528ab2a0feb2389e0554569576be6bafa

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T20:23:34.514071Z digest=sha256:c0bf555df0031b3ae4f68ab9c3425482dd01b70d5f071d01b2305d204a96492d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T04:51:17.519200Z digest=sha256:70b315fd166f76314754fff569a3a23e0cada3d3f8f3ba751b037a9f5a4316fd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T18:39:29.196528Z digest=sha256:6c5d1da90981cbc6788eb0eef81519cf7e3d1bcbcc293d69a122cf54edf86267

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:82ff477e7c9ba8df7fea5e1819cb303b5c358467a11f4945884ed7a540cc2fb9

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:b88429420a60e9dffd12471f93a06c3cab4379d14cca129525da51ec97d19e53

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T08:49:28.538659Z digest=sha256:aea2cdab26cdc7c9d5bd4072c8a3972df740245612e24f7a7b9c5743429bb3e2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T08:15:24.364818Z digest=sha256:f6da2063e2f7a6a98f83b195b7d307c38c1b01a75b8fb696dc5a07f2cda2da60

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-30T07:19:48.530272Z digest=sha256:c36d358bf11ee9446eeefc3e0768c118fff99e5dc7513e059a0198620b10958a

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=sha256:5df2e3b1c251b209b93cb5e01d14223d3b43b9aa3cef2fa0a35e97bf12d18803

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=sha256:2d0a622acb04ff5050ef4de59cb4dc7ad9626db98af105a5753b855411ef6e05