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Paper Citation Record · LEDGER

On Softmax Direct Preference Optimization for Recommendation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.09215.

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

pith.paper-citation-record.v1
2406.09215 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:20.737033Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:12:07.183224Z

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 7dd27941-252e-4501-b937-392cfaf8d324 · inbound

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems cites this paper.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems On Softmax Direct Preference Optimization for Recommendation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:20.737033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:20.737033Z digest=sha256:10c2b5070107afb2f252e0c96d234b7558dd9098b0ec1daae30ddc79e7f49aa6

Observation 6a056e33-371f-4d29-be1d-44dd0b141a0a · inbound

K-order Ranking Preference Optimization for Large Language Models cites this paper.

K-order Ranking Preference Optimization for Large Language Models On Softmax Direct Preference Optimization for Recommendation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:57.548054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:57.548054Z digest=sha256:d68683d57bd1c85ebb7331eabcd0e99b8b1d9f5286c56c76beeccf505ee2985e

Observation ddf04fbe-c9bd-4099-bdcf-30c220db718f · inbound

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion cites this paper.

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion On Softmax Direct Preference Optimization for Recommendation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:06.324152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:06.324152Z digest=sha256:00e2a98715ea94471fb57c8eadd2c3ef330c03a13684b8f17f0ff1c583c7df82

Observation 27f72de6-d020-4950-adcf-811ecb1f854f · inbound

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text cites this paper.

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text On Softmax Direct Preference Optimization for Recommendation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:53:55.075833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:53:55.075833Z digest=sha256:7dc6e670abfb49ec37d78496077dd593ba2e7aa8c53aa8b6ade0df16f4706a3a

Observation 60ff1f0c-ca0b-4374-98c0-617cd29ac5eb · inbound

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models cites this paper.

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models On Softmax Direct Preference Optimization for Recommendation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:02.848067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:02.848067Z digest=sha256:d98f03be8b76b45f730b9a47fcb72c63b9f0b2a036d3b95175f3e77d8b702bfb

Observation fad1daed-fa3a-4b89-9834-89612dc169fb · inbound

Listwise Preference Alignment Optimization for Tail Item Recommendation cites this paper.

Listwise Preference Alignment Optimization for Tail Item Recommendation On Softmax Direct Preference Optimization for Recommendation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:41:39.479977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:41:39.479977Z digest=sha256:11b92aaa0d0b1a34ab9758abe4cf6569a731a0e7180bf4b467f7b3fb5099c6e7

Observation 24526583-bcc9-4d3f-862a-9cecab13d95f · inbound

From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations cites this paper.

From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations On Softmax Direct Preference Optimization for Recommendation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:12:07.185925Z

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=arxiv_source observed=2026-05-19T06:09:26.269452Z digest=sha256:941d07acf56e27b7e30c6a5aef5bfd5ab9467fd0528900cb387880769ad83041

Observation 2704fad7-c4c6-4742-a6ed-fccbf8d77064 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models On Softmax Direct Preference Optimization for Recommendation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:06:00.797289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:06:00.797289Z digest=sha256:014e7652fcd3a8c0786af40407ac277a2367447c445f53a51fbad28c855fa879

Observation 80673dda-7453-4243-88fc-e6f7a97f22c4 · 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 On Softmax Direct Preference Optimization for Recommendation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:24.667019Z

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=2026-05-12T04:14:37.374346Z digest=sha256:e37a769674c66c2a878351531e7afe582ed926342afb69d50309e40d5cd2828b

Observation 93f58120-0ddf-4593-b5ef-8a10bf9d1858 · inbound

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation On Softmax Direct Preference Optimization for Recommendation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T20:29:43.700229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:29:43.700229Z digest=sha256:c4c906d624eba24e948cec3921995d6b61fa0a24e96d56f45edfc5c13d30ccfd

Observation a11a2abc-46f6-4e0e-93aa-17f9b87f18dc · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations On Softmax Direct Preference Optimization for Recommendation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T00:28:19.449017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:19.449017Z digest=sha256:bf38b35e0ab904d60d57fa9b5737503ed3801abd3b8a94ef9ff86f77d7dc39e0