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Paper Citation Record · LEDGER

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models?

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.07006.

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

pith.paper-citation-record.v1
2608.07006 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:51:18.564403Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dced25e6-4283-4935-b8f4-349e609827c2 · outbound

This paper cites Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , month = apr, year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , month = apr, year =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.392854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.392854Z digest=sha256:8cfd00f1d4c790f421b8d8887ad52bb53b60ca586d2c4cf13e1df595017520b2

Observation a82c282d-f668-4b21-bbe5-ae7de3e2a653 · outbound

This paper cites 2024 , address =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2024 , address =

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.399515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.399515Z digest=sha256:157dc12bc0196de632650f5eaa13a85548faa61421dbd0cc3c684dae4d7cf040

Observation 72c246c6-9171-4fbd-a79f-53226a345c3c · outbound

This paper cites an unresolved cited work.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.404141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.404141Z digest=sha256:7e383202cba9e2079936535d453cd3f3d8ef17daba08d8efcb62cf1c0392b482

Observation 51ca51bf-7427-477c-a935-f7ebca71ba0d · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , month = dec, year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , month = dec, year =

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.408522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.408522Z digest=sha256:6f8c0c7f679f0dfcc460e33ebe09db3658465c268742b0802dfc5bcb2f1b8026

Observation 3600a446-d699-4efd-8c41-81528763c258 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? The Twelfth International Conference on Learning Representations , year =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.456883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.412901Z digest=sha256:db36ad331328a400ade9ccc776b0ccca162b8d3f075e89f9ebb5eacd749055f5

Observation 23227bb3-304c-407c-9ac6-cf545517d8a3 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , month = nov, year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , month = nov, year =

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.417860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.417860Z digest=sha256:26afb24b26991e7e790d6c2af763428814d2b12842547008ad39187b18743c2e

Observation cdd9f941-6626-4ecb-8f4f-a81ec99389d2 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Transactions of the Association for Computational Linguistics , volume =

Reference 7

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unresolved
no resolver link, observed 2026-08-10T16:51:18.422291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.422291Z digest=sha256:bd919d41dc7b3342d74217b56734646bdabf5fabeaedc56227fd34b87c43279d

Observation 8743358f-0d76-425c-93f1-f50e012d59ba · outbound

This paper cites 2025 , url =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2025 , url =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.442409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.426472Z digest=sha256:6c7a733b6d8bfbd65b50cc20f0e1e508ada29207972118d6a736b779f5f464a0

Observation cd62b3d3-c8c2-40f6-b2b0-71ef498f330a · outbound

This paper cites 2510.27261 , archivePrefix =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2510.27261 , archivePrefix =

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.431781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.431781Z digest=sha256:84939d05c305aa99b1e4c372ae3e2ecf644ac0982e1627d4cee57b62c6a3ef10

Observation 97cb7978-eb4e-438f-83a6-56e0364ea779 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Advances in Neural Information Processing Systems , volume =

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.428078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.438073Z digest=sha256:af73c383b83edce273054051c75c166b1168477a81aeaf7bf1a43623ccde774c

Observation bd9f9d97-e2aa-4b5c-be3a-ef1ef2047745 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Advances in Neural Information Processing Systems , volume =

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.413584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.443251Z digest=sha256:5dedbf7802517596db14bc8b6ff634ecdc5d6867ed6e54c73dfd443861447409

Observation 3596221e-ef69-4fda-9298-3658f2886fbb · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Advances in Neural Information Processing Systems , volume =

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.448426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.448426Z digest=sha256:2a2cd1f1a8eaeb66d11828b0073eedef0f4db4cfe0ea3de2800765feaaf0bf2a

Observation dd4f1801-9926-4116-9126-24cd06fa61cd · outbound

This paper cites 2025 , eprint =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2025 , eprint =

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.453312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.453312Z digest=sha256:6c2fab248b5bae0c537e14c930d20ad4b6d76ec2b605aff55994c72df4b28987

Observation 5eb717ba-a606-493d-aa6c-89afc460b597 · outbound

This paper cites Proceedings of the 43rd International Conference on Machine Learning , year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 43rd International Conference on Machine Learning , year =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.387589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.458772Z digest=sha256:36430db8dd30f31e342ecf8a035f52c334ed76e5f3979c018edfd15f79864237

Observation 5abd1f94-e53d-41d9-88cc-a11ea90ef311 · outbound

This paper cites Proceedings of the 43rd International Conference on Machine Learning , year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 43rd International Conference on Machine Learning , year =

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.373193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.466290Z digest=sha256:f7bab97921d2fa0b0638cddbaeec53498e8054f983b04c26e12d9f521ce20c05

Observation b0d430c0-a295-41db-ac23-b061d4487a77 · outbound

This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , month = jul, year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , month = jul, year =

Reference 16

Resolution
verified exact
doi, observed 2026-08-10T16:51:18.613217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.471909Z digest=sha256:4d113ed2dd7c2923cbf296cec0a834022ace717ba671e4eb4af2f858656a71b3

Observation 60690b97-eca8-4408-b2df-15a683d1d389 · outbound

This paper cites 2026 , eprint =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2026 , eprint =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.358291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.477661Z digest=sha256:317823f4b8c8978f0fa4c273e02214fe3f2ce482b17499b6ff9ca70e0049f41c

Observation ff85c7b4-36d1-415c-9c17-e79221dad277 · outbound

This paper cites 2026 , url =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2026 , url =

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.341185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.483689Z digest=sha256:dab3f62134ba7127d71f62cade1b8a3d0dd7d896a849699f28c1573e231d1208

Observation 5959184d-9a07-45cc-8e97-f97e53164ce0 · outbound

This paper cites 2026 , eprint =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2026 , eprint =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.325068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.488206Z digest=sha256:823796f3b1ddbbfc04cb725d12486abdfe161c934436d75fa897ec787f33f8aa

Observation 034b44b1-21d6-4d9d-84ef-3e048397e37f · outbound

This paper cites 2022 , address =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2022 , address =

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.492710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.492710Z digest=sha256:dd1925b63348c41889f2465c8afbe016ad02b6bc6457d4dc35d44ee83f908619

Observation 79e85059-414e-45ef-9281-be35022c9446 · outbound

This paper cites 2505.19028 , archivePrefix =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2505.19028 , archivePrefix =

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.497271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.497271Z digest=sha256:89c3c59161d715c693741a1c8f4db1b80e7c982ffacac73dde33760a06b8a3b3

Observation 971c2704-bc60-4b0e-a3af-58f7a22baf3d · outbound

This paper cites an unresolved cited work.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-10T16:51:18.501766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.501766Z digest=sha256:d52fe35fa2baf756115ec3d3c8dc5fe1c4086c86106452a1ce5da25cffdc8e16

Observation e73a3ba8-60c7-4923-98ce-16914a4ae45c · outbound

This paper cites an unresolved cited work.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.506209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.506209Z digest=sha256:7eb6b5f27fec67afa41d3eae8dc74d9fe2d8e3f25b55e180b21dc5dc9f6f8934

Observation fa559359-d0dc-484a-89cf-3da9e3b11c60 · outbound

This paper cites Proceedings of the 30th ACM International Conference on Multimedia , month = oct, year =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the 30th ACM International Conference on Multimedia , month = oct, year =

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.510593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.510593Z digest=sha256:8c1b05e56e34c0d1df4baeffbad25a0f27332bb8eda27b0c352e2594a84797a6

Observation 0764bdfc-f9c4-48fc-8f13-9bbc35667233 · outbound

This paper cites LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.515307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.515307Z digest=sha256:7d65bc16cfb921ab05a1f67867d7d889a346e6c6f96bc56dd8ce2624474d2aaa

Observation 7057f594-8a09-4189-9627-67da5fa06ad7 · outbound

This paper cites 2512.22615 , archivePrefix =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2512.22615 , archivePrefix =

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.520743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.520743Z digest=sha256:58034dfa4944d5c40e75568b8cfff5e7b0b1c7d07ad8dcf74ef98ba71451abc6

Observation f0fee449-b29f-4658-8fd0-2c2ddc26e899 · outbound

This paper cites Qwen3-VL Technical Report.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Qwen3-VL Technical Report

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.525564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.525564Z digest=sha256:1355c87484b0e8d1c4cc9e8aaa87173652965f1c02771adac2a963d78edbd9b0

Observation 780ff5d2-9c50-4570-b73c-9974e586c64f · outbound

This paper cites 2025 , eprint =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2025 , eprint =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.310909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.530810Z digest=sha256:fdc79b354c90f8a589ce3eda8690878de3503a5a6ffd04c4ba14bb7b9370c52a

Observation 8d551061-e1c3-474b-92bb-85601c62cf91 · outbound

This paper cites 2025 , howpublished =.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? 2025 , howpublished =

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.295316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.540278Z digest=sha256:43bf7d02fa5e4df3d19e097e359f9de1ad175924d4fa76c7ccfdf10b13b60c35

Observation a6a433ab-9dc3-42a9-ba97-450a4fcd16d6 · outbound

This paper cites SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM Agents.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM Agents

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T16:51:18.724325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.545028Z digest=sha256:b7fb3de712aae8015e53ad0e368c46e99a4a9522eba2b69af0ff94ab7b30844d

Observation 70a17374-fbc8-4598-b4e1-d2145500d32a · outbound

This paper cites General-Reasoner: Advancing.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? General-Reasoner: Advancing

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.280511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.549972Z digest=sha256:50ae765cfef6bdd6250a4ed15b917453c6c3318110259a2b3efc7f3792d2dea6

Observation cd05d811-3a61-48a2-8de5-289822512b7d · outbound

This paper cites Proceedings of the ACM Web Conference 2026 , pages=.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Proceedings of the ACM Web Conference 2026 , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:51:19.264156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.554680Z digest=sha256:99c25d6bb34613931eea1c9de43f3899d22a2b87e41298818ef868608616a95b

Observation 41f074bf-b97c-4fa2-9993-8f02e6858206 · outbound

This paper cites Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.559500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.559500Z digest=sha256:a73cb6070112fb4f1abc17abd767d90fe679519f52c33f7df317c214d7d036b5

Observation 76e2d6b2-bba3-4df6-8425-cba8a7dc73e6 · outbound

This paper cites Autoregressive Models in Vision: A Survey.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Autoregressive Models in Vision: A Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.564403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.564403Z digest=sha256:3c07ff927257d9bc2e789b483189231f8bbb53b222cb5c65855903a34d291a8e

Pith citing papers

No inbound Pith citation observations are available.