Paper Citation Record · LEDGER

ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2110.01799.

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

pith.paper-citation-record.v1
2110.01799 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:54:26.273886Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:40:23.469363Z

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 0f3e70ff-433a-4ba3-b253-01f3084140e7 · inbound

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art cites this paper.

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T15:54:26.273886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b571e5-92e5-4e29-a18d-a09990dce0cf · 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 ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:46.769058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a5d10c-4c7d-4dd6-b221-baa3ff259833 · inbound

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models cites this paper.

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:40.946540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a227230d-972a-4914-bb3f-2e642073a0a7 · 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 ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T05:36:54.087247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 004db070-c153-4fdd-ab8b-a6fb040b08e4 · inbound

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning cites this paper.

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T21:11:30.578122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a5ead1-2435-468e-9ff3-612a71cdd516 · inbound

Design and Report Benchmarks for Knowledge Work cites this paper.

Design and Report Benchmarks for Knowledge Work ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:40:23.472455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2aa1c78b-5e2f-46d7-80b5-864139b69a59 · inbound

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards cites this paper.

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T02:01:52.255822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.