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Paper Citation Record · LEDGER

Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.05193.

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

pith.paper-citation-record.v1
2411.05193 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:57.529911Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.183441Z

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 a5e731ea-e33b-4d1a-b2ac-aa81f4b0a581 · inbound

ShiQ: Bringing back Bellman to LLMs cites this paper.

ShiQ: Bringing back Bellman to LLMs Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:57.529911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:57.529911Z digest=sha256:1fdb61a4a7f32e26a52939b07210b791b189260773a209a52f10ac3090766a99

Observation f97dd5a8-7a18-4ff5-b2f4-fbb033ad99b5 · inbound

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections cites this paper.

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:49.821661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:54:49.821661Z digest=sha256:239efa35370c8b4e887b747ad808089c83541d0eb10a77a1a055a567a4096377

Observation 46d4ac9f-b08a-458d-abdd-506c69e3831d · inbound

Post-Completion Learning for Language Models cites this paper.

Post-Completion Learning for Language Models Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T17:52:15.321068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:52:15.321068Z digest=sha256:4dda33a32793ada5fb3dd00c84c0d6a43b92be27e37e546b32cc630c03d0ee76

Observation 04c91798-d270-49d5-8e48-98e58360054b · inbound

AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language Models cites this paper.

AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language Models Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:58.162168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:58.162168Z digest=sha256:2a2af59f6b15f7662a13c52e494e763cf2c8c2401aff51bad38fa36e823b7df1

Observation 7bfc2373-26c3-421d-bc93-94b66b9ae816 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:40.184749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:0e99dae1ec88e18e4f90045b7a7fed8d2682597fc0b1b300e0313728e1577edf