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Paper Citation Record · LEDGER

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2505.20771.

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

pith.paper-citation-record.v1
2505.20771 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:23.736660Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T22:23:14.621091Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:23:15.093019Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aa5c74d-bef5-4eba-ae6a-f4bb6d8a77ca · outbound

This paper cites A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:20.379270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:20.379270Z digest=sha256:d2704279b9bdd5233f8897d75baabb03c7f8c1f959073621148223a67424f461

Observation 853be576-e292-4966-a1b9-93fa664fe7d2 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:28.660319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:20.426926Z digest=sha256:7c9d875467847d5862a2c56fa6260fb3da0219876cd8d0cd45cb4550d62636e0

Observation 31c36322-cd20-40a5-ab99-06cb4d57fe0b · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:28.397994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:20.514462Z digest=sha256:7c1a606ee6d5e8d2e9f2f8106f456d3cab59a9f4d8d6c608219603e1a1e3f941

Observation c104be5e-9b8c-4c35-81e7-578f138446b5 · outbound

This paper cites Noise Contrastive Alignment of Language Models with Explicit Rewards.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Noise Contrastive Alignment of Language Models with Explicit Rewards

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:20.611227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:20.611227Z digest=sha256:1f8ba16138e1ae46b964a50441e702fc126603121877056e7ce60bfa71663023

Observation 7dd27941-252e-4501-b937-392cfaf8d324 · outbound

This paper cites On Softmax Direct Preference Optimization for Recommendation.

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 468e1ceb-285a-4c70-9eab-0635fe5584dc · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:28.209470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:20.841451Z digest=sha256:577e12bffec88e65fae194af98a3c5ab5176fc90c587582ba969ea3a93c3c79d

Observation 79b2c78f-d266-473a-9283-fd216b3b1852 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:28.018602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:20.907831Z digest=sha256:f6fc110ca87918de6d748f6ea70d2f774fb1316320995655e8b033afd2837acc

Observation 53b55e8e-a0bc-4987-9279-7d1491e8dd4d · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:20.984103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:20.984103Z digest=sha256:516c778527eb3be8bc6efb2d5f696f94d4725c8c1ad96bdc30b7c9d95fe2c3fa

Observation 78fcb9cc-1375-432f-968d-cb2bf315f727 · outbound

This paper cites The Llama 3 Herd of Models.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems The Llama 3 Herd of Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:21.064890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:21.064890Z digest=sha256:c1989b24589432d8c1a8c11ed543566afc7ee2e725367f6a0e430abd37d6b859

Observation cff3a9a2-5550-4053-987c-e90d66403885 · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Session-based Recommendations with Recurrent Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:21.231156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:21.231156Z digest=sha256:8ba3c18b129787be61202539b885201bedd9ce2d487ef42d605ada11983fd27e

Observation 96a566e4-e8ae-41e5-b6a9-5b177f2e12c5 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:27.849548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:21.314382Z digest=sha256:089a636d4f29649c6e4210aa7b8b3df6b45e4851b6dc72feb40d0a2739a76f52

Observation 089ec2de-f2ff-4c21-8b12-07d95ff1e5bd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:21.430436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:21.430436Z digest=sha256:9e3d6f4c453e6dbe0c37adb794e5d7b1f892533efcaf3e0ba0861bf9c07edeff

Observation 1b3de389-f4a8-441d-99b5-3a0a375820d5 · outbound

This paper cites Large Language Models Can Self-Improve.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Large Language Models Can Self-Improve

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:21.544115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:21.544115Z digest=sha256:e87bc503bb8e476ac4bc949f7d261483aa4c14fa56f8cf45ac39ff008bccd905

Observation b4c49553-5268-473f-b2a8-83dc216aaf49 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:27.699951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:21.675911Z digest=sha256:3ee7161c6262e8b93b0bbdbcbeea26c8acd8911fc03d55e30d1dc4794cbda95b

Observation 598cfba3-cea4-465e-9ce6-715012363e04 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:27.563076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:21.801235Z digest=sha256:408f348ed77af748642781b24a7029540d2121e547f684579f5f2b1bb66888b7

Observation c66fe6c6-4f73-4b7d-b116-5d44febea37d · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:27.389300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:21.867183Z digest=sha256:07d863a0d105a9bbfd093d93bfea1654db7ed127b5eeca1a88f38d8e85f38e89

Observation a36bbcf1-e4a6-4153-bba3-81fe215767e6 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:27.148061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:21.937810Z digest=sha256:9f4b4e5867545fe13617c5137e867c257342948486e02d5f55e5ff497938cda1

Observation 72b98818-52cf-4a45-8f49-29d62cd6dcc3 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:26.852810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.021640Z digest=sha256:734837d8c388e1467b9cf1c29c74ad5084bd1d9d43e3b7f236e1a2f1590b21cc

Observation 5c4998bd-834e-404e-9065-9362a64a295b · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:26.724309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.118324Z digest=sha256:f90dce068c9c72f86b68220ba739ffbc31f93b7f5fff0b933bddaf146d3900d7

Observation 5e76fada-7a07-49f9-a9e5-093e79efed00 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:26.471732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.238756Z digest=sha256:e8d9f836e13ad89801ead5387ba179d7067bb1c4e2824d61817387ea785ad9d5

Observation fea9cc0c-a13b-47a4-a017-13cd804e0a1b · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:26.274714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.316232Z digest=sha256:fbb977647ec02dbc07b0bfec61b3e62bf36de544da9655fd46dd081d59652d56

Observation d1652163-81fb-4087-8fd0-d65103e1fce1 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:26.106999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.398024Z digest=sha256:e667532e129f66cf64b5a54e9551df552a6b8efe98028d82d754dd7f5df2106f

Observation 560aa67a-44f8-4f61-ad61-2b2bfa147b35 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:25.962335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.473194Z digest=sha256:30801fa9c695a3845aa8272a27832dd688c0c4d21ba4c06f1458ee08a03f8b27

Observation 3ba67132-30b2-4d7e-8773-eaa89f21bbb1 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:25.728154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.547617Z digest=sha256:8b2dfb966274db7e074a1cfcb472a50ac83a0fdc0ae8fa6b6c50e2be5bb405ed

Observation 99630d94-03e1-4190-b70c-d9e0d33ecfc2 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:25.539047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.630369Z digest=sha256:2a3ef59bb443f7820d6a5f1642e8c5e8b7352967f95e7351f7dc62a478334a0f

Observation f28085b3-6b8c-4eef-97df-4152ccba9164 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:25.376424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.697429Z digest=sha256:888f2322455706c7b92c6d3e850acd937e23265963145ebc0ccfea8f1deba06a

Observation 1a1bbb21-dd7d-4058-a6e9-0b6dcf1d65b3 · outbound

This paper cites Zero-Shot Next-Item Recommendation using Large Pretrained Language Models.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:22.790759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:22.790759Z digest=sha256:b0af67bfd699b500294305c135a883ce71ae3d1773848c3144f1af37c9e0bb50

Observation 767920da-9912-4913-931e-7b7c5252ee2e · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:25.208383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.882092Z digest=sha256:748d1ce538d9b22189c2ec0d1c8dfc5471ef78773ea1c7e309197a5a3830db69

Observation f316e1d5-09f0-4a84-bf1d-595ee8661869 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:22.951916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:22.951916Z digest=sha256:e09176ca4cd8785778ade4706af5ea563f45fc7ba85c9b21586072b025993a36

Observation b62e5983-fe16-49f8-9d9a-230fd6a4de56 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:25.053094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:22.998199Z digest=sha256:faa34d7d04c67a43bed8377a7f3205130b9131c7f124ce744ec227c57b48a40b

Observation 827d4b7e-8a1b-4a9a-89a6-929e8a44f66d · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:24.885978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:23.077354Z digest=sha256:e662e9fd2b127f7f0a1224f9c80ccaadc55ee38b057627d82a8e02bcaa457fb3

Observation 904b8673-baaa-473d-91ef-329c8e4edfb3 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:24.723710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:23.144645Z digest=sha256:ae6588682a6daccf50888562127603a96bb29069a9ceebcf96211629f314b5f0

Observation f5b6dd89-b16f-420f-932c-d202d624de3c · outbound

This paper cites Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:23.240290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:23.240290Z digest=sha256:cb369771174749f432b2ec6d97c00783ce24f7283edcf7093f5f9338f263de0d

Observation ddbb08d4-16c4-442c-80fd-bfce221d46b0 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:24.570473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:23.335735Z digest=sha256:6edddc4cc40ed9c4590628e215529d20b24819e9cf0229e3ee3ed98e388162d9

Observation a76f8c5b-d4d9-4b1d-ab9c-8a7a3cc6d2c0 · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:24.370252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:23.435679Z digest=sha256:e1d58b02495b61ae8551b5e3e3df3ab1f2d9f35bdc7b7424644314589335164e

Observation ecf33ed3-ba20-42f6-a39c-26b24fcc0d0b · outbound

This paper cites an unresolved cited work.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:52:24.154191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:52:23.549493Z digest=sha256:a4b3704962bc8bba3670584f89ed904bb90a55dfffd86b041b8345a46e599b3b

Observation 9d0775b5-2316-4370-a79f-517e8ab531fd · outbound

This paper cites online" 'onlinestring :=.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems online" 'onlinestring :=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:23.660485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:23.660485Z digest=sha256:73a467e8d56718249db156b05697299467d9a34e99cdeacad2fb399f68f4ce35

Observation 2d56dfe7-2cf0-441c-8575-5f31a522e33a · outbound

This paper cites write newline.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems write newline

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:23.736660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:23.736660Z digest=sha256:0371d460b80587c1b5772e7289230c98b966dfcdff28567518f5934d78b88aec

Pith citing papers

Observation 712305fb-1508-4dbc-873b-aba345f54077 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

Reference 209

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:15.096245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:1e9785b67e96738ef45c323361a55bc897f8da5fb438e4cd6e59c10f82b8cfff

Observation 21d42bc2-6309-49e4-a983-dbb95f2b1fe9 · inbound

Evaluation-driven Scaling for Scientific Discovery cites this paper.

Evaluation-driven Scaling for Scientific Discovery Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems

Reference 135

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:08.218652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T03:39:52.204043Z digest=sha256:ca4f2b3f62ae308591d64495fce1682e0b0131494145fde856c10095519a058f