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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:12.252492Z digest=sha256:356068a377286049879b72f2e595ee2f891ade00c1416062f1b359fd1ec70b0b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:12.391213Z digest=sha256:fc290c350ea997bfba63bc0552567adc0b3f63e90fef5227e34d932d285f1e07

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:a0a2fdd1810e92cd3e177a4c8ac38d91deff3798bd820e0e2330441f6f5bb441

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=sha256:1d991f401f250125a7aee1ebd274e25b5b0d2b7b59569453247a252b91ba118b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:12.786730Z digest=sha256:6368a15dabc1c358735e7d1b877db12057db112806c559d4e08ba4b2e5b384cc

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=sha256:9d23c19b82986987f8891f3637dc2dc0506cf4c5832fdc5f66e1f46745c3e5be

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=sha256:138719c0b9b8376d05ebb39842fc0e09be32507be78d00f017ca46b554340c79

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:13.253599Z digest=sha256:cc9b7d801d7591b92c292a6e57b916b7a36e33211b38ca7ae36abf32075bf136

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:13.400525Z digest=sha256:b8a11b4e543b01aab8c8340c1efc78f2b598447917ceba908074e7270e3ed1e9

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=sha256:3a787177c4cdbe2acc94cee0e4941e6403ca818480e8e7c65a27bbe8d30fa852

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=sha256:85d79b3096f7450efa39dc0c20ba56c611da5b2a21f87d5f8b3acd5e56925828

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:13.760460Z digest=sha256:4e84558ee824df472c63a6d21fabf76247a55ef72fe81523c33ec4a18d224880

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:13.842662Z digest=sha256:c5b15442526355775aa73f6f5704f3e387a26ec0292e5586897bce21172d505c

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=sha256:88bdbb3b4420772358a3cba6415e9d4f4e845d428edd0ff956918c370015ba6f

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=sha256:176290b92cea6f38140c9ebfdd1c9e1b04112d3b9826888188e4ca0bd0bb1362

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=sha256:845340d9c04c3eb744156cc4dfe3255a8b92a8747394ec230f6d168f8784fa6c

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=sha256:129c08999bc2912e6067346c7700cae46760bbf300e1643c141b32ad3ae51405

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:14.419785Z digest=sha256:e7cb2020a6c3e30a47e10e19faa79953c61a6422ac47e08da94a079922f4633c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:14.540607Z digest=sha256:75120d03eb6629d1ae139d82a75ae77bf8b27535976532759a35396fb408e6a4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:14.676108Z digest=sha256:4f2c9b10d1e3269869b657564967cf61a9e5dabee13aa1bf898c87a03c0cde27

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:14.924055Z digest=sha256:7b829d7207a6fcf1fd099cee8940aefda45dbf87670dc3cabe324b93d95e6eea

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=sha256:6b54a18d69e08e2bb961fa069b6ccaec2bc9a3cce899ffa030eaefc11352f4da

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=sha256:0e40110cf8c9567f5892b6907a3ba57d3d83ed5358efd0a5f5f47b61bd90cbc3

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:c48d63f9f876d06067ac90520b9b1667364bff7f21a1bf8d386b98b8515aada4

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=sha256:753a47562da0fbcded06fa0e53c6d36b799fd6806b6d5dc6420690a8fd94faa5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:15.590377Z digest=sha256:5f7161303554e009b8404d757c22524f5bf29c522fdf0dfc7ad88b720420b85b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:15.752523Z digest=sha256:be1d027125ccaf17b22b079ce52893f1413c381a7c4849e6a3c83aa343a827b9

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:d28789eea367cc2f869f8639d28f51693571a09c557ea5f7d602ad8c5d35e863

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=sha256:96db882ca32679b1ba7932a30cc071cce056fbee462dd43839fc1a792db3964b

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:b1fd615acc930c6dd122b2729fc8bbdbcaaaeb2ad7ba3a0ebcd6a808f0ac7272

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:a5e14548e847677e27b5cbdcf7587cdb93155127f5e2f581c11715b5e950c576

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:ee64ea93bb7fc18447a12f7684fd878af088c27541f47d69bbf4e38f292a6454

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:16.506729Z digest=sha256:179382015fe41426650427d4a5e2ae2f2349b75d7223fc138f22c352748eb42c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:16.624179Z digest=sha256:716c83047a8687b678de8151a50449212eb5f63cb95809a78391128245594068

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:c10592fdb859a972b90f7b2be2cc67b78c693c713fa2e1660439e94284776ee6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:16.925930Z digest=sha256:b64463d4263d043eceb21e6599c967f12a45e20089ccfb61baff5d9b39cb297e

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=sha256:069dbdb4cda4440ba0b37c164526c5cc50bdf85943d668932574e7c73a8746ff

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:edec787f83a444e0aae372c6cc596c9684c360d38275d68795f400feaf8698b4

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=sha256:6f66ff8098164796e06b266b50bd347a209608a8388afc1f9447a10ebc9287e6

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=sha256:31def53a711ead84c25ce5fc56299cb839b9d054d5637c24b9de3fe6831707db

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=sha256:9b32f9057893698582ad04d314ab34bb6495326f3f886c2e6c3f2e679463656d

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=sha256:91fe83bc62800fde41ed425376b574cc1525d343cc438a4231981370ebd6eb6f

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=sha256:80ad661ca4bee9d813104c856798222cdb33d7c09e99dce00a1b9f6d2547cc16

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=sha256:391f5c1608e0eeddb7161990f92d8ed03671a1a959b0354d7459654a51382f7d

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:ca8b7fbefd8f6c41a0671b34ff26b8a6ac9f2a06c9529947f70fd872f54bdfb6

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:18.646437Z digest=sha256:e4912f095ea0234dedc7440a747e46432b5b2a92e0914febee03ccc87907dd8c

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=sha256:0e2443c5c2e97e2a1b9027c2388cc7d9397fed215a3931014f97f2cadc045836

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=sha256:69ab7941c0da4614fb5d9b6fa1df068029d0b2dcb43569234b10755c1e6d3d54

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=sha256:485c185b3b6847cb24a23978c9e45b4d03ebb012f9f99025cc4ade488deb8436

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:aca47089dfb217aebd78a3490538699be1a558e630e63b7dadfc650366e5b7cc

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=sha256:2efc3f6833f8c4158043bc2dbf96be3a39aa3e4f6d815a81b536b40c1e783c8a

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:f63de68c48bca50ce937c53cd051173ae63951e04754cac2e6e1a5f9fb1b6205

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=sha256:982993d37df7f636268e12b023ff4b1c952181fe453c1218835fa34e99f898d3

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=sha256:7a30e457575262ae6ff2656e82553aaac0a7f618d59e37308a011684c9757dbb

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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raw_fallback, observed 2026-08-06T23:49:22.162577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:19.494585Z digest=sha256:cfc4cb615bdf11ff4bdc468712d41f5c316278ee38f76ace1fd39aa7ed5c1356

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=sha256:76985ae124ada03276d4c3068c65ec41a9fa0c18f7899e09d3490f713308cab8

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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unresolved
raw_fallback, observed 2026-08-06T23:49:22.063102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:19.647719Z digest=sha256:c73c23c53856fe4ad9406bb32368880236d719a12af9cc71fbe10dec79287525

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:19.740287Z digest=sha256:61d6661fab8943d4e30fda34422a6b27141c3b9b9aa18cddeaedfb91d2f07f90

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.804630Z digest=sha256:d930d44f7a80ac7ab70408cb8101b54dff7e7b14a7f91a120114edfccbe28654

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=sha256:10ca123c3d3afa0924003435a9067eaa7a1b24681883965356c376377fba6636

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:19.987260Z digest=sha256:8548f2a816322fefb3cc7b045b081c731ff0e1d1c9ac34a759fb28bc2e308fe8

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:20.030191Z digest=sha256:9afce441b29c5b3c2f6ced5b1634a743c055bda65ebea850c107fb44e3b5d200

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=sha256:8c14444c75ac500346df17a1bfd4df0d58660075eec32c884e4df4c57970fabe

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:20.173228Z digest=sha256:95c6092fcad77b1354d8c66ccadf7f6eba38e3f47d4e253ceacc4900ea3a0fec

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:20.227230Z digest=sha256:c477f3fe43bc2d33bf99297a49aa1b1a42fa93e453b082f629e337a579b691f5

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.281585Z digest=sha256:5ad9a0fbc0c6d06890e4dbe4edd540bc1e94ebf211f27057b46287c4cdf068d6

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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no resolver link, observed 2026-08-06T23:49:17.598496Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:17.598496Z digest=sha256:e1a1170983975aa6f3549545a7f52a7752852f8d15c3cee229fbe2a771bf459c

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

Resolution
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:19.876936Z digest=sha256:a07575f6337899629b9f08d0c22d854953c07e5011926efe02dbcc9a99eb340e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:17.308023Z digest=sha256:e2f43c0e949a1024e2a999b61aed9d199e8820faca6c921241c780293af0fa1f

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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no resolver link, observed 2026-08-06T23:49:18.075603Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:18.075603Z digest=sha256:a1aca10e54a4a33a6b6b81acf33945e2e3f2ddaa6f1fedd4dbc098de9ec6be52

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=sha256:97be84f9a812f4bb4ccd77b07286f270857a3f0fd5554b28bf0a8f65919343d3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:14.798345Z digest=sha256:0d58219a93fc611e99e04ba1622f16719bb05b181f10586c5da019a67d34b9b5

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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no resolver link, observed 2026-08-04T17:56:38.847284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.847284Z digest=sha256:1260c04f7cd5308582d5e1b9964b6e8a610461c2dfac0353ed35689811e34e0d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T07:32:27.258441Z digest=sha256:cc10fc455ac758a5d5191891d33a977e71e03ac58104cadf3d6e3fe27ab3d451

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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no resolver link, observed 2026-07-31T22:39:48.753333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:39:48.753333Z digest=sha256:503ebb6489b374eac79f40a1eb167c2cb7251006dc12d5d447b5885ddd8aa51c

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

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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