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Paper Citation Record · LEDGER

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2011.03088.

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

pith.paper-citation-record.v1
2011.03088 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:49:09.988540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:25:06.786358Z

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 fa8bc5b0-8510-41d6-b65d-dd2ff5737511 · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:15:16.331770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-14T21:15:16.112918Z digest=sha256:cc5e1b9ab600ffd28dfed7e8eb25bc5564ab1bc28234ef2da2f5d6d81f4a922f

Observation 55d9d6f7-02b3-4c59-9bad-1eb8e152765e · inbound

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification cites this paper.

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:09.988540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:09.988540Z digest=sha256:adb1b25f2c12d4d30f379af0d37065a7317f06f6ecad21ccb029857b8e23cf97

Observation 63eb2c80-d1d3-4537-9b57-73cc4f0553db · inbound

Safety Degradation in AI Agents cites this paper.

Safety Degradation in AI Agents HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:06.678990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:41:06.678990Z digest=sha256:44735fb51fed4a0e1bedfac78418592d7e42a2fe0a0c22e321a8644627801f8d

Observation 1de48d45-f306-4f90-ad5f-f27155735bd3 · inbound

Single-agent or Multi-agent Systems? Why Not Both? cites this paper.

Single-agent or Multi-agent Systems? Why Not Both? HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:02.944024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:02.944024Z digest=sha256:b1dd94d2c5cc9cf770762f69de916299b76d98eed9673d85312510fbea5142b7

Observation de67788f-c8e1-4cce-a9fe-3061bcc40587 · inbound

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services cites this paper.

LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T18:00:21.888465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:00:21.888465Z digest=sha256:8bc6c985d96fa7ba3b0d88434811d9908a6d9c52f9d9aebe02c6f214f9b4b762

Observation fa1ef321-0654-4978-82f5-f04b426331d2 · inbound

Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces cites this paper.

Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:23.299161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:29:33.497561Z digest=sha256:25727cf26adf734713992317bc3df50e7fe6ac5ffcbff021abf2158d67a56fe3

Observation 89add875-e43f-4268-b9a7-48d3321ea041 · inbound

Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces cites this paper.

Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:25:06.788075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T22:24:26.528532Z digest=sha256:2dfda48efbacdf2ec29f10111a82e5437bdb4918794b49bd86ddc90efdba753f

Observation 7e137053-7ed8-4a5f-8c75-e72dec13ddf9 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:18.495744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T05:00:31.452781Z digest=sha256:952bd19215aec94d42363e8d5e97f68e1968166959464fb73ff6f3bf40781c8f

Observation 14c071e0-0bd1-467d-86e1-1367eb7c9f30 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:45.725304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T05:19:05.368681Z digest=sha256:1a33b72e8f55544670d2660fe00a1bce0f4a90134f05c8e76f07ed79622a6616