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Paper Citation Record · LEDGER

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result

As of 22 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2608.01559.

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

pith.paper-citation-record.v1
2608.01559 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:12:50.371354Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2c32e78-e550-4058-aaca-30c77f3fc0e8 · outbound

This paper cites ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:13:05.927402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:49.467465Z digest=sha256:88c0a92e4f47f31a99a320e4d58acc049e659228a3cd4fdedb8dc9feeabdafb0

Observation ab74e565-d4fa-41e9-acac-5f7013f09938 · outbound

This paper cites ACL Findings 2025.https://aclanthology.org/2025.findings-acl.304/.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result ACL Findings 2025.https://aclanthology.org/2025.findings-acl.304/

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:06.008681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:49.590367Z digest=sha256:cfb83aab667de67692d508a5db1fd9480d39644cd0fe8f42731876f6c785329b

Observation a06667dc-f81f-4bb9-80e9-caed198278f1 · outbound

This paper cites arXiv:2510.03405.https://arxiv.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result arXiv:2510.03405.https://arxiv

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-07T00:13:05.905377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:49.700555Z digest=sha256:2e7c2a7cc7ca9a97333560082acad795b6f072440a6d7b4c5bd986cd706380fd

Observation bb6e05cb-409a-49e2-afc1-d4a85102f82e · outbound

This paper cites Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:12:50.739659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:49.745681Z digest=sha256:a6a679a24a53b4dcc0692d389b05b5aa96b523178abdd6b5523d8b29d0462e44

Observation ee92250a-2a21-496a-8552-5341f3c6264f · outbound

This paper cites AI safety via debate.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result AI safety via debate

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:12:49.795309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:12:49.795309Z digest=sha256:742eaa0a89393bcd46a0a19cec6a0527ea3f796d8e3f1cfe00417e0da5db6026

Observation 72d5f3c3-8d3d-4a5c-8d98-fbc3bcb8ec70 · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Reasoners (SPIN).

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Self-Play Fine-Tuning Converts Weak Language Models to Strong Reasoners (SPIN)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:05.990642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:49.903269Z digest=sha256:4670649be1b060ecba36d6ef482d20e0fb464917b833691f9a011885602faf99

Observation e3602f1e-e3cd-4584-b2bb-21e79d777b4f · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Constitutional AI: Harmlessness from AI Feedback

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:12:50.030256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:12:50.030256Z digest=sha256:71b26016e53c5cdcc4cf3027e671fb2e6a69f9abff843989ada5a0cb501ac602

Observation 4677e43a-eefc-4a12-ada6-0006af86c803 · outbound

This paper cites Adversarial NLI: A New Benchmark for Natural Language Understanding.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Adversarial NLI: A New Benchmark for Natural Language Understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:05.973067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:50.126946Z digest=sha256:08de19cc0070dc17b8219357e49355b595a2905a9c274deef7a08480d341bfca

Observation 35e2a91b-5ad2-40e8-96be-69aa5b71ee45 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:05.957965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:50.207040Z digest=sha256:95f45f22c7e3503e99418c16c2388421332df902b8d73545895f8aed9c4e2817

Observation 1b011512-0cb6-487f-99ce-c4b1a7d1028a · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:13:05.942766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:50.285993Z digest=sha256:7264bef203934f125a08bb92d1e8f86ef4d513a240d7d74ed0993f683231a0bf

Observation be90f7c4-4243-48ec-8a9f-5f5d84418e82 · outbound

This paper cites Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond Imitation.

Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond Imitation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:12:50.546849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:12:50.371354Z digest=sha256:3de736841e5e04a0f2ca31f3d8c92934bcacebbea57aff334813501e08cff2d6

Pith citing papers

No inbound Pith citation observations are available.