Pith. sign in

Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:49:01.771793Z

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

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

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 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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:48695bb1610b410aca80c551830ed89d8b525bc358f850776a8ee822a9201d0d

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:49:27.926646Z digest=sha256:b8585718fe83aa0ffdf8dc7dca58b1cc9536f24f0fe33d9cd81f343c075bcf62

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

Resolution
unresolved
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:e0f88f321bd502658cb1da8b52bdec9ba9f68215b4513ecaa0c0b5b5439cdb1b

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

Resolution
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=sha256:6f012a23d78a21274dbc6fe936cfe64be6b9b7fe81b8b2d0b18419c7220db089

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

Resolution
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=sha256:3cc3401870deb5262834630ebe53d9540943d207cb356f11e8e0fa4121a8dc91

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:27:26.082625Z digest=sha256:f240519d751619203d22961aa5fb4c1cf92b48926e2cb83c772110d3c8af0fe4

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

Resolution
metadata mismatch
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T01:34:43.464899Z digest=sha256:479d1b45febc23a48e8b0baa285d6c449319e526368002b99c7bf7b652f35df5

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

Resolution
metadata mismatch
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T18:50:27.219978Z digest=sha256:55b729118028b51c680d71a8123511e24fdcc3cec603e9334166dba193aa0280

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

Resolution
metadata mismatch
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T18:19:53.820922Z digest=sha256:f903347782890ca62b94311652c83e8352de1bbc66beb81c4ae86f1590bedbe2

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:29:01.722453Z digest=sha256:d4d242e3ed8633daf2d7c36b2da79541b2606f15b09565371c9678f95095d74d

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

Resolution
metadata mismatch
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T13:02:34.623221Z digest=sha256:2726c69909316c0a6a5006dd84ae379fa7c273e430292b14a3785560978971f7

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

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T09:47:04.122464Z digest=sha256:f5f7475f151da8612c51a1bd8045f35fdea1873a6e72f6c684e37b686508510f

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T01:15:53.269926Z digest=sha256:053d79fef681cab79faf2fad23512e0694622e4a6a0451aefdc66baaac443eb1

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T05:10:59.825246Z digest=sha256:96dfc4397343b6202f175e39da48100e89eda0b2fdb808ea10d50a15acfff73d

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

Resolution
metadata mismatch
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T14:06:11.853570Z digest=sha256:bd811b7a343e3b0a499ba10faa94b5d3d07a2a509b17c793b03a5c5372d3e4ea

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T13:42:51.563514Z digest=sha256:389e69c5e7dd75d2909bcfbfa2ad0900a7eb1b20c493bc0d53cd2b8973e684ea