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Paper Citation Record · LEDGER

Language Models that Think, Chat Better

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2509.20357.

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

pith.paper-citation-record.v1
2509.20357 v2

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 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T01:13:13.329619Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 98ccfcce-41d7-4632-acc8-ffe15a349367 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Language Models that Think, Chat Better

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:7325ef98a1662f29d9d2134f83365a37471f8711bffb7cdc424b07d6fe5e4981

Observation e3769ba7-2e51-41fe-9a9d-db38190c9f93 · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Language Models that Think, Chat Better

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:8fae4c669e4eb651c998815b5606ce69db91361662cc6addbbdb08d2b91198a2

Observation 67c5f086-2392-481f-9936-c73202b9170d · inbound

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy cites this paper.

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy Language Models that Think, Chat Better

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T17:08:23.269275Z digest=sha256:9cc36ff3d1a6b8858e9f08d1c2b646b0bfa1d5caf1026d1a4b09961ffca01c7c

Observation a589ca64-2c63-4b47-ae6e-637a78f008eb · inbound

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions cites this paper.

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions Language Models that Think, Chat Better

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:16:29.695213Z digest=sha256:610744759f7c7122d7e246bb02243c33980bf21724da24fa43b7f5b571978c25

Observation 74af8204-2fa4-4a52-b14d-0f8b2908afa6 · inbound

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts cites this paper.

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts Language Models that Think, Chat Better

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T19:01:14.340754Z digest=sha256:2ac9a96de080512899fb3744818a0110432fa3526c6807b938bbd3b7d94a7204

Observation fd9b56e7-cd87-4440-bbe6-e2af9be40c77 · inbound

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts cites this paper.

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts Language Models that Think, Chat Better

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T19:01:14.340754Z digest=sha256:0249242a9092b5e61960e210b623281252553f048e07e034036dc5ca2ee2e4cd

Observation 9bb049ef-a430-474c-8ed1-e0ac8aae0fa2 · inbound

Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG cites this paper.

Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG Language Models that Think, Chat Better

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-01T01:13:13.329619Z digest=sha256:de5e1773578574ae863ec33c78701d3a0cdfa5e2cf6f84519c1f260a16db1e61