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Paper Citation Record · LEDGER

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

As of 20 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 4 inbound Pith citation observations for arXiv:2506.16114.

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

pith.paper-citation-record.v1
2506.16114 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:20.281585Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:28:26.640363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:01:10.829288Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved67
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ffb21e3-a7bb-4d90-be1a-8a423993fcc6 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:25.191281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:12.252492Z digest=sha256:e0e351192b92f24755ba0c77202cf1e8299e5644efd74f1f5cd96da30e1571f9

Observation 9b95dbc4-e3e4-46d5-bb71-5f9456557585 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:25.045835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:12.391213Z digest=sha256:74a1f2160f7d294bd34b3b10039db3125c39d19a8482034672759e41a12b4bf2

Observation 131ca135-2fb8-4e2d-9f63-545baa3c54af · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:12.500954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:12.500954Z digest=sha256:1d27c456b43a2c79ec25dc1353ee25cbfb828a6e800c9b21a9ee87c78abbf450

Observation ded92eac-aaed-4d32-bf57-c0df6404b54c · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:12.644520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:12.644520Z digest=sha256:86fc94a32c7437174ad7378df8c107db3ab121a03bd47d0c7945641e8c36772b

Observation 703a04b9-ac80-4bb7-b2eb-c13dd3b50264 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:24.920398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:12.786730Z digest=sha256:515b249da18a97ef2bf38255ce7af91140d8c3c7c70b2ab18165e39428331038

Observation 533c9c17-660a-44be-9ba0-b02278912f89 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:12.948015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:12.948015Z digest=sha256:d61b544b1bafbf1bd9f7a59dc7d345aacb56e7d09dedff83241084daa9bf0d61

Observation a182843d-c7ec-435c-a610-61867d26600b · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:13.093380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.093380Z digest=sha256:37fd14e9265030969fcec8af0ff7d87a96b20a365f8130470ffaba34b004ae4e

Observation ea4d276c-9d14-4282-97a3-3e7a06f72b4a · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:24.750903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:13.253599Z digest=sha256:42941e2610f26cf1c566cc4b70936ad6e26a0479234af4814b52a9eb307be135

Observation 07950b8a-539d-491b-ab47-f4308d39230a · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:24.603257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:13.400525Z digest=sha256:d3d8dc3e8f4dc9b28d2b54cf415af725b729e611560746b09a0800eec65d0d6e

Observation cc97917f-7eba-4afc-ae4e-8850de432f52 · outbound

This paper cites Process-Supervised LLM Recommenders via Flow-guided Tuning.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Process-Supervised LLM Recommenders via Flow-guided Tuning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:13.523484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.523484Z digest=sha256:0392962e3165c2a4e4c46ab2ac3deffe17c6e7dbb363e9fa64b3a9fccac2f61d

Observation 63bd9d44-1de7-4d0c-a05a-7b6ea2f7ca13 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:13.652681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.652681Z digest=sha256:f3528041e4341d47e84745fbbb0ed8cd0c2897fbd582f3047aedebceaf3a355b

Observation 073b5011-07fc-409a-a694-631c14610750 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:24.445567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:13.760460Z digest=sha256:37d8ec10035075ff7c98ad5c85a167ec594b8f5ccd2f271e3ccb6c6aeac6f427

Observation 297ecda3-4c75-434d-a9e2-ba50b8f07286 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:24.268711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:13.842662Z digest=sha256:8c8dae6f5b9b4152c67f5c232d38edc1b394baf5d1bfb81539410db8df171e20

Observation 53eb0927-18a7-4f2d-95e0-99dd0ae35082 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:13.943615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.943615Z digest=sha256:b6fe20e5621193b0d7ac4f91695a65966fc783adbf14f33fba0c29222a4ee3ad

Observation 9bb795aa-129f-49c7-8cf5-11734c70c83e · outbound

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

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:14.075674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:14.075674Z digest=sha256:8865b947fe7aeebbf62c6b9b57a640e5deb3a3e9da2db9cdb33ed36f7039ea5a

Observation d512e46c-55be-40ee-aa95-2daa13a615de · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:14.203008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:14.203008Z digest=sha256:359405d3f4596c05d55bc55fd595efe6b9807040e7a556a385fc055f849d09c7

Observation 60d8d088-488e-46e6-95c0-47b6278f4d6b · outbound

This paper cites Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:14.339049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:14.339049Z digest=sha256:276979b06dd274ad35b8c1613d31e38dae04f3e8870af8a60457937be7fade0c

Observation 3c9cb32b-e0b5-4964-8939-6c8e7b1f1f9e · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:24.091747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:14.419785Z digest=sha256:952dd24cd8d860e92a32c4f6b0d92bf52830d0e86199e97ac95b4aba9d168cdb

Observation afd7e6c5-2488-4c7d-83f2-c131bc507a03 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:23.941642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:14.540607Z digest=sha256:3a51a7a5860b93163ebcf78935093a210822aff7091522eba93214a18c85c0c2

Observation 0362e3ec-ab49-48c1-8f12-99eafcae08c0 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:23.792444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:14.676108Z digest=sha256:6bc0d18ed386dcad57f2cef0d099bec6ef133c69e10fcc9b59308149bf7e8bd6

Observation 78c6f956-1a3a-4b83-aaaf-690be1d8796a · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:23.667362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:14.924055Z digest=sha256:9d054c55a1f9dfb6077338e81956e5b2ac8fa816fd266311632af1e50cc494aa

Observation c708381c-b9fe-4fc0-b912-48601dd0d303 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.073274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.073274Z digest=sha256:afbee59c4f8de5787566d42af0f38730b729cc5463cd0dadb97bbafb96d86e42

Observation 2444bd50-ae27-4a4b-86f0-1d5ea38f2a73 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.177845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.177845Z digest=sha256:1dcae25ce45af0b23ab2c2b37692caa96000a7d9d737d4a8c38c08a2d8c5f973

Observation 53cfde24-6e9e-414f-a4b8-694f1d16010f · outbound

This paper cites A Survey of Generative Search and Recommendation in the Era of Large Language Models.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks A Survey of Generative Search and Recommendation in the Era of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.305212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.305212Z digest=sha256:d3077490dbe96c9d176b34b5e5fcf2b6bb87e5ceebe6142219c9cb873c4b9c4f

Observation 20051c60-1a82-4b74-bb40-1835466fe071 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.426417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.426417Z digest=sha256:4f6266fdd0f341742ffff281bba83fe3289ddfdf137f1f9e8a1766a8da093bee

Observation 71148ed2-c7c2-4aa0-a62a-f615972e5716 · outbound

This paper cites Order-agnostic Identifier for Large Language Model-based Generative Recommendation.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Order-agnostic Identifier for Large Language Model-based Generative Recommendation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:49:20.931840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:15.590377Z digest=sha256:07a656e379cc6ae5c8484ba925c314c3b201fd436b5166609390ac756b47a901

Observation 3eab3f4f-5069-4b3c-97e3-43096fe67992 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:23.525606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:15.752523Z digest=sha256:c66455279461849790e57b0c0889bc9ae0a2d0a1c02bd5c13c435bd97749bdce

Observation ecbe0d06-f775-4186-9343-4d39f2680245 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:15.862432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.862432Z digest=sha256:e0ba0b7949f1cff7e2dd7ba268a5f2f43b628481936dfd0be789317fd79d1072

Observation e6539641-2f4d-4f58-ab43-477c2db8b185 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:16.090478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.090478Z digest=sha256:3bc850b94f6d014bae739b3ccb616a3b9a92f5242086e0ca9932f93188dc3b4c

Observation 2ee662b9-e4c1-4005-8db7-9651cd618085 · outbound

This paper cites Large Language Model Distilling Medication Recommendation Model.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Large Language Model Distilling Medication Recommendation Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:16.197184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.197184Z digest=sha256:9b70b54ab70100620730be754417c56492dd56b7ccd0923ca049d4cb12d71968

Observation fed38b18-25ec-4a3c-8f84-a64441c1c577 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:16.288046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.288046Z digest=sha256:13c268e50c18d326642bedb2d215f8e0692e3dd8d53ac114df8ad033cc7af253

Observation fdcfca0d-2228-4d84-8048-152ff68b8cec · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:16.388066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.388066Z digest=sha256:be1b29f4001323883ef2da2cf3c0f8cabb75b44c2778ad1583d28e3ccc2e1709

Observation 8b0c4cb6-ecfc-4164-bb82-a298c7227125 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:23.342025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:16.506729Z digest=sha256:1f19a4eb185b5b3390fd4f2de16593d5d43fe375b0314bc44bb7e08b697641b8

Observation 3f7a9a8d-ca19-44ed-b303-a0c53c898093 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:23.186802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:16.624179Z digest=sha256:3c620b10d7cb9cd15ed2475c2ef1580fd3fae5e2a06c9ef39e9c506d061c4f70

Observation 6dd488bb-ebb3-4a3b-bf12-8ab4e20e4fa5 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:16.769564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.769564Z digest=sha256:416264a0d0692d8dafe6383d64fba1701dd56158d75d27041cca76817259caad

Observation 507c38e4-60b6-414e-8ac6-a52c93ae4c91 · outbound

This paper cites The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:49:20.723069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:16.925930Z digest=sha256:d2bc9f38644ec3ad370a4931355d2b44ced0eb5ade79207dac374afa2202e655

Observation fa33a099-bc6d-4253-a812-31e7fcb7059f · outbound

This paper cites Negative Sampling in Recommendation: A Survey and Future Directions.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Negative Sampling in Recommendation: A Survey and Future Directions

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:17.044475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:17.044475Z digest=sha256:0b144611fc3aea1e412c1457595c6b3349df88ff799a2f3bf70fbcba406915c1

Observation a16ff614-8e08-4f40-9c6a-cf992580151b · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-06T23:49:17.179290Z digest=sha256:d355ba9810d2f29389c5089498b4b4ff2eeb3d756f689743a06f99795fe7d237

Observation e0ff236f-0551-499e-ace1-a6755641174a · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-06T23:49:17.484209Z digest=sha256:ff8cbe626668990f5e1566850d85cb3165ee3a9e206427accd354373d8cb6ab5

Observation a4051de5-6133-47b3-a393-45e53e9b4dca · outbound

This paper cites A Comprehensive Overview of Large Language Models.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks A Comprehensive Overview of Large Language Models

Reference 40

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source=pdf_text observed=2026-08-06T23:49:17.692174Z digest=sha256:df3db1802be2b6c9350e7e059a82ce7855f8508eeb16434b78ba694f3c765728

Observation 69099ba5-8b80-48a2-ac66-4ed09263efff · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-06T23:49:17.802565Z digest=sha256:6de40de5ae30a240e22fab89b26fef41a6bc1a80f92dba484dbee100ac1cc3f3

Observation 891bad54-1bba-4a59-8796-ded3dc5a606a · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-06T23:49:17.928357Z digest=sha256:122cbf8d6b24ce4fd8ea7a6c841e87e4ce813fab3eaff35533f9474cc29ccea3

Observation 35af50eb-5f2c-48cc-a8fe-4ba3e3305a0c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 43

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source=pdf_text observed=2026-08-06T23:49:18.221819Z digest=sha256:7939a4e2adc9c0e8ea93c31f042fb7932771637f46b3600f9f63a2214908138f

Observation 74cf424e-aeae-4b79-8c48-1023e2edc09f · outbound

This paper cites GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasks.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasks

Reference 44

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source=pdf_text observed=2026-08-06T23:49:18.339164Z digest=sha256:f03f677846d75fd144e42273e2a398f29276ca3f428b971124a573d1cef7ce0b

Observation 2cf6dc5c-a922-48d4-9ecd-8441051e135e · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-06T23:49:18.489028Z digest=sha256:b986b2ffed3ef05847712fc819bb0b18ce8a022dd88865126e3bb5753ca95128

Observation 794f01fc-26c9-442a-b25a-98433300c3eb · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-06T23:49:18.646437Z digest=sha256:19aa2660e3cb58a45afce2d37245a27dbf41e80698e683e3cf77d1f4db7b328e

Observation 0d7af8e5-a32e-4ddc-85db-001e15971619 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-06T23:49:18.769769Z digest=sha256:f62f4ee8c6d89c7460369fb4aa5c6a0d99313cf2035d211d582d4be3e0744700

Observation a2f1360e-0ee4-4d2d-b1c3-08289c270f91 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-06T23:49:18.890224Z digest=sha256:dc0c6da021453eac57b390f2357f6667424e9f878e7f15a4b15f0a5701c27bb2

Observation f29fd073-3a0f-449a-b74d-e297dc8b59f2 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-06T23:49:19.031501Z digest=sha256:d45db97395a05dcf15f8a8fe83fc355628d7ff59712b9572c6fcb6227446fba8

Observation e164d665-8b49-4fd5-83b5-06c636bbe8dd · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-06T23:49:19.161474Z digest=sha256:98d3d948b27ea924c0a0afac38f7727d753fbe5b2f3c0346c8c8efecbf8d78d2

Observation 0f301c42-a9dd-4da6-85f4-afb97ff29ba4 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-06T23:49:19.235316Z digest=sha256:282f2a7211bfdde9e304a00f0180f147a551b6db985ed2280901d3c4faa153d4

Observation a4c125ef-e9da-420d-9292-87aa9eb544e4 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-06T23:49:19.294913Z digest=sha256:afd428c12a1249cbcfe40fbe55aeb57865b3af7c7ea00694112a9bcb3cf3460d

Observation 46b1af5a-d61c-41b1-afe9-d02d2c0bab3d · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-06T23:49:19.347673Z digest=sha256:4127de2fd5d67bc06a613aeb1133e2fb8d2c450504a38f5dba4010256e615c58

Observation b445ca72-0962-4cae-abeb-611e4eecb631 · outbound

This paper cites OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service

Reference 54

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source=pdf_text observed=2026-08-06T23:49:19.427136Z digest=sha256:f9fba3573663bdbf9a4a1476066debbb3a702a10e42b4247f81e5a988bdb03f0

Observation b2c4842e-b713-4e4a-9bbe-99e16ffc71a3 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:19.494585Z digest=sha256:5fe08ac0a72b94b65bc54bb58f2112eb73824ad001f8fb011395a2a37eb95cc8

Observation 4db3e952-dcfe-46f6-9041-2372de42ad58 · outbound

This paper cites Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples

Reference 56

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source=pdf_text observed=2026-08-06T23:49:19.556576Z digest=sha256:5fb3b6a4c1beb0ad422955288ecbb7990605ace996d0a1c50aa31a96ec031257

Observation d1e44e98-8780-48b9-8f3e-e063b617c5a2 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:19.647719Z digest=sha256:99edcbb6c168505ecd865f0286cbd1dc3cbe0c65bbce1073e121cf1b4fa49056

Observation 51edba0b-3cdb-4c04-8d5f-d9ce71ec1dec · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 58

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raw_fallback, observed 2026-08-06T23:49:21.868303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:19.740287Z digest=sha256:57b0cbd7999790d21bae94caccd1a53fdcad37c9c16844237024c6063f043867

Observation 108e7845-e6da-4bb9-ac31-ff07f8bdd5a2 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-06T23:49:19.804630Z digest=sha256:0ef06873a38ee8235cd03e50d7a406ce419bdbb66653425756dd47f34f82eb7a

Observation 7165c02d-6f1d-4aae-9098-f55217454d3c · outbound

This paper cites Deep Reinforcement Learning for List-wise Recommendations.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Deep Reinforcement Learning for List-wise Recommendations

Reference 60

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source=pdf_text observed=2026-08-06T23:49:19.933230Z digest=sha256:23862f16a866cb5fe2b7dc71d7b16dde917bf4dc6c45635f1555cdc5850599c5

Observation b55cc1bd-2c87-4a39-9d79-557889c4a308 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-06T23:49:19.987260Z digest=sha256:6ed90074f242293374ad359bdcb11a89ee2cb783b07d7d6852ed5752d050b638

Observation 8b2fd9cf-d701-48fb-b1f4-909bdd5cadff · outbound

This paper cites Universal Item Tokenization for Transferable Generative Recommendation.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Universal Item Tokenization for Transferable Generative Recommendation

Reference 62

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source=pdf_text observed=2026-08-06T23:49:20.030191Z digest=sha256:dc7cb1e32ced2a0a21ef94a47b3fe6511a2bdb509b07b0a0aab0485cc1989726

Observation 2d4d1142-75ac-43e0-b574-a6862cc11c4c · outbound

This paper cites EGA-V2: An End-to-end Generative Framework for Industrial Advertising.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 63

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source=pdf_text observed=2026-08-06T23:49:20.108033Z digest=sha256:40a736ad87089204577e873d11701cb1fdf93a82a4d1db78b2f5c96acb497b76

Observation 7b98bfa9-f42c-442f-94db-c3beddc15e9d · outbound

This paper cites OneRec-V2 Technical Report.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks OneRec-V2 Technical Report

Reference 64

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source=pdf_text observed=2026-08-06T23:49:20.173228Z digest=sha256:8613460fda14a1a6059bfb07862a1a9936d41b6bb1aba9294e2f8ce7a4f6a1dc

Observation 39b7c87c-2234-406e-9b43-89d768749491 · outbound

This paper cites an unresolved cited work.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-06T23:49:20.227230Z digest=sha256:d0a722934afd2933d5873ce1bb31822c883a7711fb41c1165799bda93a6d4c5c

Observation 7cc3888c-7350-4f39-802c-4fbf28418051 · outbound

This paper cites InProceedings of the 18th ACM Conference on Recommender Systems.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks InProceedings of the 18th ACM Conference on Recommender Systems

Reference 72

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source=pdf_text observed=2026-08-06T23:49:20.281585Z digest=sha256:281ed00d2bc03b5582a473cbc0eb20a425c356ab6abda5d0fac5a5e92327da07

Observation 2716c3a6-beae-4d8e-82c3-cf24fbe1c7c7 · outbound

This paper cites In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval

Reference 2015

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source=pdf_text observed=2026-08-06T23:49:17.598496Z digest=sha256:53837d10e9f076904acab532511e0ae1bb588aad91ebda46742fe98f3378777b

Observation 35f6a9a9-8b7d-4b4d-bd70-3f8f83f1e7cf · outbound

This paper cites In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 2018

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:21.638094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:19.876936Z digest=sha256:c6a3e9302d2718bc50a23c0e84d6d6aee80a71cf6379a2332c847437204a6205

Observation 982f105c-49ca-4546-9944-e50c33427054 · outbound

This paper cites Advances in Neural Information Processing Systems 35 (2022), 5955–5967.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Advances in Neural Information Processing Systems 35 (2022), 5955–5967

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:22.825596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:17.308023Z digest=sha256:9cd50321724f1592a867acb432944613a4cc1a5576aff7e834218314fa9b73bc

Observation 1780ddb0-b3e2-49ff-a6f9-2dbb49f0847e · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2023), 10299–10315.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Advances in Neural Information Processing Systems 36 (2023), 10299–10315

Reference 2023

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source=pdf_text observed=2026-08-06T23:49:18.075603Z digest=sha256:06064f939202bf2586f599c8487e5753b87e992682fd6b8a0adaa3de3bbb42c4

Observation a9a21f88-ee06-4a06-96fb-e7a857d9ea3b · outbound

This paper cites Generative Recommender with End-to-End Learnable Item Tokenization.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Generative Recommender with End-to-End Learnable Item Tokenization

Reference 2024

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source=pdf_text observed=2026-08-06T23:49:15.981199Z digest=sha256:bad91f686c2573ea521fdf6203b6f0cca7ff741af3872aeecf8b9bfc997ade2c

Observation 0a381d19-dd42-411f-bb10-33082cc8366a · outbound

This paper cites GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks

Reference 2025

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metadata mismatch
local_arxiv, observed 2026-08-06T23:49:21.123839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T23:49:14.798345Z digest=sha256:616a5ba5f4e3f6e7fd06f61e9a5c4d9ba2fc1ea0315811795793a270b948248c

Pith citing papers

Observation ccd35ba6-f608-4a5f-b384-c4d9cc7cbca7 · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.847284Z digest=sha256:12590b3947fc08a6e9338d4b0d5c406f09e174eb2a856187f2af3bba46cbedda

Observation e04b5f8b-69c5-43c1-aeb1-735145c15712 · inbound

Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation cites this paper.

Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Reference 25

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verified exact
arxiv_id, observed 2026-06-02T04:04:23.901002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T07:32:27.258441Z digest=sha256:c3aeac99819358cd0ddad7f36e9ccc795bc7f762f4ed4345e63104fb2462e226

Observation 36b426bb-3f5d-47f5-862a-d57767b2e286 · inbound

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation cites this paper.

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Reference 39

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source=pdf_text observed=2026-07-31T22:39:48.753333Z digest=sha256:6901dbe3b667b2c734321f5d469cb51f91ced73c04ef05bdaca7f62a2a5438cd

Observation 3863b1da-6aeb-4d5b-9a64-5e174f9a972c · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

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