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Paper Citation Record · LEDGER

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2501.03200.

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

pith.paper-citation-record.v1
2501.03200 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:04.558589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T14:07:06.683844Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9b0ac765-2a37-4dd1-9ad1-3c987da4f752 · inbound

LIFEBench: Evaluating Length Instruction Following in Large Language Models cites this paper.

LIFEBench: Evaluating Length Instruction Following in Large Language Models The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 47

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unresolved
no resolver link, observed 2026-08-07T15:08:04.558589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:04.558589Z digest=sha256:a97f67eface9121699feef30f0df981c55d03bd1f1a5945efc4800d6b86d1cb6

Observation 934ffd7b-4604-4766-802b-a12986f35cfa · inbound

Towards Large Reasoning Models for Agriculture cites this paper.

Towards Large Reasoning Models for Agriculture The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 33

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no resolver link, observed 2026-08-07T14:21:43.463461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:43.463461Z digest=sha256:6ed360b3f2fe5bfa7f22472deb0a577765357c5f5b69184670ebdb0e4cc0b1d1

Observation 9b91d1bc-198e-4186-a41a-9aa4a291001e · inbound

How Does Response Length Affect Long-Form Factuality cites this paper.

How Does Response Length Affect Long-Form Factuality The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 2020

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no resolver link, observed 2026-08-07T12:52:38.496979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:38.496979Z digest=sha256:147ea2d38a05a4d759781b29646a0a5a3215bf9531f766101213ae453db0213c

Observation d36c2852-fd98-410d-88c0-c664a7268218 · inbound

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs cites this paper.

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 19

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no resolver link, observed 2026-08-07T05:12:14.770034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:12:14.770034Z digest=sha256:9f55d603c9b310d55b712191585318bc026e2468b33cd2ebaf07800dacdd03e2

Observation b5da0c4c-1331-4f40-83ee-f911d5eaefbd · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 37

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verified exact
arxiv_id, observed 2026-05-19T05:52:07.726059Z

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=2026-05-19T05:48:02.828938Z digest=sha256:5d9c64c78f07b5e3f6e5170776c859087a808afa6e9bdd193da49a5566dd5820

Observation a1c2b675-ad1d-4723-be6b-8c543833809a · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 32

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verified exact
arxiv_id, observed 2026-05-10T17:49:28.148937Z

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=2026-05-10T17:49:27.926646Z digest=sha256:d1f20ab9cbbd104f7c83f7f890d605b5f31d0271ad829a94658bd263ce9d9d4a

Observation d493dbc0-17da-45ef-b449-36fe420c341e · inbound

StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation cites this paper.

StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 12

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no resolver link, observed 2026-08-06T12:57:05.522192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:57:05.522192Z digest=sha256:9e28edede1b7d68b3d8030c04e45ac03ceb3ff466c519aff4f63e326596d9282

Observation e7fa6e91-bedc-4052-8660-5c9a2e750fb5 · inbound

A Neurosymbolic Approach to Natural Language Formalization and Verification cites this paper.

A Neurosymbolic Approach to Natural Language Formalization and Verification The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 37

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no resolver link, observed 2026-08-03T22:49:01.771793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:49:01.771793Z digest=sha256:5ea2a7cff506e48675ac7daaae7d3f89477c318b39b4406a177ebdaeeb7fa9ad

Observation d5b6b225-781e-4335-b577-abe861a02ca9 · inbound

Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models cites this paper.

Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 5

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unresolved
no resolver link, observed 2026-08-03T04:09:48.472543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:09:48.472543Z digest=sha256:5d3c74c513cc2446a65a8245f3afd13e09893af7749cec8b7acaeb49a71dff4d

Observation a2d6b555-5801-431f-b0a6-01762320e696 · inbound

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation cites this paper.

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 2024

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unresolved
no resolver link, observed 2026-08-02T22:31:49.587447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:31:49.587447Z digest=sha256:46cf07d328fbcc9b6a5d5d5838e80ce9f019b9b33545bc76fc68dde7cdbfe6a1

Observation c7bfa351-3ceb-4b6a-989b-528fd538842d · inbound

TRACE: Tourism Recommendation with Accountable Citation Evidence cites this paper.

TRACE: Tourism Recommendation with Accountable Citation Evidence The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-11T03:30:57.973089Z

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.

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Observation 2435c00e-d144-4f5a-a439-7cd2a045fa22 · inbound

Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights cites this paper.

Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 2

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arxiv_id, observed 2026-05-13T01:37:03.597207Z

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.

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Observation e77a223b-c5ed-443f-9b4e-32f3f381f802 · inbound

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research cites this paper.

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 24

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arxiv_id, observed 2026-05-14T18:52:35.650120Z

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=2026-05-14T18:50:27.219978Z digest=sha256:dedcb57e27a12cd98aff3ee5095676b0cda5f9fd5910e473d63e2eddd69b059d

Observation ecb089f6-a38f-41f2-8914-f6be9cf60cce · inbound

Evidence Absence Is Not Evidence Insufficiency: Diagnosing NEI Construction Artifacts in Fact Verification cites this paper.

Evidence Absence Is Not Evidence Insufficiency: Diagnosing NEI Construction Artifacts in Fact Verification The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 3

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arxiv_id, observed 2026-06-29T18:23:50.649461Z

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=2026-06-29T18:19:53.820922Z digest=sha256:994954178c6f5d61b1a024ccd3917771b8dd4d303d992230d65e046ca8436792

Observation ef784c11-4a7d-4d8f-a5d4-1a663846657d · inbound

Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring cites this paper.

Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 21

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verified exact
arxiv_id, observed 2026-07-02T16:37:09.586047Z

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=2026-06-27T22:29:01.722453Z digest=sha256:02129f3a2af257697142871abea65a557ee494d39d387f6515eb003606cac88a

Observation eae57c51-4248-4afd-a4b8-e559119de2f6 · inbound

APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection cites this paper.

APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 9

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arxiv_id, observed 2026-07-03T05:47:42.008859Z

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=2026-06-27T13:02:34.623221Z digest=sha256:214afba25cce6a636e1341c9d49304617685d965672f6efe34025b2050fedf8c

Observation 444372f9-e854-470e-a635-d21d90470b77 · inbound

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning cites this paper.

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 30

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arxiv_id, observed 2026-07-03T10:58:02.663170Z

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.

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Observation 253e777e-ccbd-492d-9550-19d9751f0ef7 · inbound

ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence cites this paper.

ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 3

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metadata mismatch
arxiv_id, observed 2026-07-04T15:49:58.064081Z

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=2026-06-26T01:15:53.269926Z digest=sha256:61404f1d25aad0fb7268e0d8d32220c6551b17836f93de8f440e7aff8968d3c7

Observation 440c548c-f473-46dc-b9e1-df1700d1a73e · inbound

Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search cites this paper.

Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 13

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verified exact
arxiv_id, observed 2026-07-04T13:29:51.712710Z

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.

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Observation c7092507-80ac-406d-bd35-f09354737179 · inbound

Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator cites this paper.

Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 5

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local_arxiv, observed 2026-07-10T14:07:06.685896Z

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=2026-07-10T14:06:11.853570Z digest=sha256:8a5fcb74b4394af23cfd853d7e9a346e5520f3a72360328e4edce00e85e79a65

Observation 563b240d-ab6f-4515-b819-eb27b438c232 · inbound

AI and Authenticity in Islamic Research: A Critical Evaluation of Generative AI Reliability, Hallucination, and Source Fidelity in Quranic, Hadith, and Fiqh Knowledge cites this paper.

AI and Authenticity in Islamic Research: A Critical Evaluation of Generative AI Reliability, Hallucination, and Source Fidelity in Quranic, Hadith, and Fiqh Knowledge The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Reference 4

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no resolver link, observed 2026-07-31T13:42:51.563514Z

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Unavailable: canonical work link unavailable.

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