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Paper Citation Record · LEDGER

On Softmax Direct Preference Optimization for Recommendation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:36.791252Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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 54a4fae7-86a3-4061-b5c8-7a4506657d87 · inbound

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking cites this paper.

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking On Softmax Direct Preference Optimization for Recommendation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:58:38.524165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:58:38.524165Z digest=sha256:0fb8ad404a6b65ed02434a9870bd797fb8bfba38f38656b9d1707731227403ed

Observation 3caf8c4f-9b2e-4398-a553-7db4283ccac9 · inbound

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis cites this paper.

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis On Softmax Direct Preference Optimization for Recommendation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:25.032843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:25.032843Z digest=sha256:fffbcd12619d93a592c92f505014c4e6f7690377c7353948ea1f3f83c9cb1331

Observation 4d18f5ef-be66-44c5-ae50-cd093331c008 · inbound

Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation cites this paper.

Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation On Softmax Direct Preference Optimization for Recommendation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T13:33:57.544882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:33:57.544882Z digest=sha256:48f7a54d632a763c56c238cfa6681b10f06afbdbdb494e6be4780b0596642f01

Observation d81c4bbe-ef1f-4e95-a20b-9f4be29fe3b7 · inbound

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization cites this paper.

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization On Softmax Direct Preference Optimization for Recommendation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:27:36.791252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:27:36.791252Z digest=sha256:a232a3c757c384c92010778b7e44792be5d9d1d2c673b1018e3d68d4fe207162

Observation 94fddb47-855c-4353-9a27-da86c50881f3 · inbound

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation cites this paper.

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation On Softmax Direct Preference Optimization for Recommendation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:00.750600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:00.750600Z digest=sha256:9692de64cf255d639afdb799ebf1a03cafedd356886e54076051ab5ec476f742

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=sha256:8b55aaab42b4f39402e7b5c2e3ba8fe5cf967d3ce20a93a7f52b8293d9871e5a

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=sha256:29793566621345a81b96fab5d3208835253b00d9b7ac8b5ac1f8f37e2b99e41b

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:ec44fb3087e913dd27604a3eb469cd49b93a2907fd93aa895e3d1bca493e70d8

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:e40b89d7536d5826dab96ec192bdc55e7c5ad6eb4076f5412d084a8f80727767

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=sha256:15826c811acffaac94a4c3ef97a87ca8011e66f9da521fbbbe2dfc7c0530551b

Observation e2f393d3-b271-434d-bc19-19447d0239a6 · inbound

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation cites this paper.

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation On Softmax Direct Preference Optimization for Recommendation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:22.625006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:22.625006Z digest=sha256:b8ac2eec87e478bb4f18da7f6b70882e087c0c0db0f790aefb982e8f9f6869a7

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=sha256:3c88aa6923170d869b71f18e2d79f334130dd0a7d12fa35ab5fe215c2aa16a8e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-19T06:09:26.269452Z digest=sha256:92a13d976899aee9cc530806fdb66acc443b41a6b3e62f23afa5c242f25814f7

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:b1646f818063bba37ab2283e8c1440b01fcb6217c19de0002051df4206a3b41c

Observation 8185fc33-9f35-4393-ab53-a497484015fe · inbound

Model-agnostic post-hoc explainability for recommender systems cites this paper.

Model-agnostic post-hoc explainability for recommender systems On Softmax Direct Preference Optimization for Recommendation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:07:31.269548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:07:31.269548Z digest=sha256:0e99b7f5c301e23f17ac91826019415bb4689cbceea08c624b93e906ef0ae653

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:14:37.374346Z digest=sha256:4e43b3b46a527e8502aa2c2212bc482e12a744a2785f107117d7af194a375adb

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=sha256:1fcfc0ebf0a21fe6497d50eab962232363e9cd1ce4c729cd80e83a0b7b801618

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=sha256:6c3a9fe28f487b992ae4d6ce5064ce636833df05c4a983b78686724ab1879577