Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:49.467465Z digest=sha256:2fb2bc0e7ec9c01d082c8f42cc76c846efaf5b9ac649a6671b6e22e1187fa685

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:49.590367Z digest=sha256:af352408111eeda5c30a5fc8c54d7c0152825762c60edd280c459ef8be16c54c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:49.700555Z digest=sha256:79bb0e9564b3c96f4181f71f4b35546d801d4c38c8053e5ff3332882c023f363

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:49.745681Z digest=sha256:0cdc2bc53c39c5c4579bc4655d16fe615cca9d2fd0d5329102c03fd224498bea

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:f0eb258c63a7be39ba2dda44f67bf661c0118d1da93609b32d9d68dfcf7ef2ac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:49.903269Z digest=sha256:78735dded71d5a61d031a657bde646106f0b294332b2319ff55b4ea82f3498d1

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=sha256:2b517925d0e020fc73b5ecf75423633e687d6dea542c66afe0431e79c259acc3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:50.126946Z digest=sha256:059391edaf678fbbeec2ebacadf0429a6caeb4d8e4b04faf308c6c4bca2a5af9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:50.207040Z digest=sha256:698ed50a79c0caad9b9f279ab3b61baf8ac34c2c5887882603fe2c9b4d78b6a2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:50.285993Z digest=sha256:7ceea12ab69f6d4d9c3641033411680edc2dbefb69bdc7810092aa93b4d7f93e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:12:50.371354Z digest=sha256:a4b1b27b8f8a6a3ba849c5dbb789141051b699fe2af442d60b6bf47c68ab6bc6

Pith citing papers

No inbound Pith citation observations are available.