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Paper Citation Record · LEDGER

Active Learning for Direct Preference Optimization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.01076.

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

pith.paper-citation-record.v1
2503.01076 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 2026-08-16T11:29:40.666387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:19.284325Z

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 874a65c6-47f9-46fe-9fbb-95c87f096bdc · inbound

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System cites this paper.

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System Active Learning for Direct Preference Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:29:40.666387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:29:40.666387Z digest=sha256:e23c315f6f7fc40c909c13226b58030b1e3093ac932ad2b3252c51932e385410

Observation 20c9b007-853e-4034-8f15-64ffd0fee463 · inbound

Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs cites this paper.

Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs Active Learning for Direct Preference Optimization

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:53:11.844809Z

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.

source=arxiv_source observed=2026-05-13T19:48:46.245576Z digest=sha256:591081c70ca8e08747a50efbdd3fbb9aea245533a06c0b61755f7e9671239f8f

Observation bc60356b-791d-404f-9916-eafa56dd8533 · inbound

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck cites this paper.

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck Active Learning for Direct Preference Optimization

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:01:28.079484Z

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.

source=arxiv_source observed=2026-05-12T01:24:59.721212Z digest=sha256:9b6b006350e04ab2a55c451aa083ef6eb40f1d4a26592ed11c97b831e8a17687

Observation b3acd522-1422-4ad3-8d40-7c69ce457b7a · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Active Learning for Direct Preference Optimization

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:24.621648Z

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.

source=pdf_text observed=2026-05-12T04:14:37.374346Z digest=sha256:30f16f43bc6e8561123b02f397c47be5860c76f32cdbc1eb3c31594af5b13609

Observation 7c84aea1-390e-4564-ba57-8bef1b9dec99 · inbound

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents cites this paper.

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents Active Learning for Direct Preference Optimization

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:27:07.257504Z

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.

source=arxiv_source observed=2026-05-13T02:24:42.530103Z digest=sha256:efe4bb7c78d2e712c7f1b67a47f3216e9346e7935a486f6363c098098c79abe7

Observation a87b4c7a-2c10-4a3f-b686-5dffc95df2c1 · inbound

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking cites this paper.

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking Active Learning for Direct Preference Optimization

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:52:52.342521Z

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.

source=arxiv_source observed=2026-05-14T19:51:45.657658Z digest=sha256:62fa80197632b29c7657051c54c15e22e59f6d15bdf38b498d9ee9d0b7e40bab

Observation 85e32ca2-b8da-46d2-b942-4e2790446284 · inbound

Which Pairs to Compare for LLM Post-Training? cites this paper.

Which Pairs to Compare for LLM Post-Training? Active Learning for Direct Preference Optimization

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T01:09:19.286636Z

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.

source=arxiv_source observed=2026-06-26T20:37:19.221848Z digest=sha256:32a5d99e66e13182e8c480121ca45c8977a9c3f428b1ec21d3ae5d036133c591