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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:aa7af616de4e21abfec79bf4099ac8afb00c2c21f6cbb5064b9aae66ad17b804

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=sha256:138a36cb8c08243667523294d9d5840106806f23fd217193789ef376bcdf4b26

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

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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:b9f88c20dd13463f503fdb86967ff762d18c43c7a4c7cd73175f5ec827ef0ca6

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=sha256:1fc4799e53cd1165896a110d0a996b553bf6739a818dd285394ae51328126b6e

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=sha256:531de2c9325b9fdce2c596b66c12688ecf158ddb83605b6e77576f4ca4d0a6ac

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=sha256:9c6170ca599a621a48b777bee46ba6bb67508c8adbfe121784995b41f68c879f

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

Resolution
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=sha256:3b07c766527d6d61c5b04d870509533d14bf55a0b1e4630e578a9a173345916e

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=sha256:11edb01476a754bede121ac79e738ad8f563535fe5e12c3fb6cd830263296dc9

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=sha256:7d143b4171064d1768d2c42462c7018b9f97c06a9628b1176849b9e3800d7266

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=sha256:288ed5b15dc21438399ef6743273c5181a69c3538fb0de52d6ea8ec188e5a859

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:b3bc067496bc00179e80249fae0d724aa19ce09eaf4176b9982ea625ab79a0ca

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=sha256:4059ee3f630d49924547563d659c88a32cc02ccdfa52a3fdd1956054901c7d19

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=sha256:6cd43e8c0e7cc0f21812f588d7be226d6b1ab33ec17df8dc5e3b91dcab66b69c

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=sha256:2130876786ddccd30933963c289deb525255b34cb1e26beba899ecebe00c3fd7

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=sha256:1040fba4b86c67a3aa1ecca72660d99cb1712c25a15bcca3f57dc0666c3ff469

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=sha256:69ee2092ffab23b486e53409c7dbb789c3babaf31c8444cc21c42c7ee264c34a

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=sha256:09bd8fe43e8b99450f737de13dbf623e51456bf0408898edfec2ca18073f6bc2

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=sha256:87902013b82e4cef52d9ba2e36ed5fc4c7bfe28e21e98505184f813a6b220f73

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=sha256:022f5715090e6be1ddc71b8969d012bb6a3ddfad8ff2a823f015016bf8ada27e

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=sha256:43279d70aa086357b97975332abc040e4d6e3573d0149d38fd55adf5b86cde89

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=sha256:93236037ad86c0d3200164360059fb32caeeac60f8e05c73b57b3a4363ecc1ec

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=sha256:00cf82706b0b1ff854c5d446eaaccd9e5ff932d9950432f3a8da1fc62bf730b5

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=sha256:585d0a518e21da5c64a2d55746b78580d3c980db7f6ff0317f5cb3c5b49d2bc5

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:ece64112da1ceae7744e447f75c452e3a32810f91d3e5853937de830a5951503

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=sha256:0f217cfafcd16e41bf8595a6867e258ace0185e5461c08b7195c59478bfdc67c

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=sha256:58fccfaab586693233512a7ff34130e34fbeed5e2ba9ca7787d0bdaaff09a35e

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=sha256:527155fd6b6d3d008adda0c9f1e50e0a140f5b910e715d0ba1e337e2727ea6ee

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=sha256:5d3b79803dae77d0681c3a205122ade39a8733d778d9039193b6efa12de5d031

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=sha256:935c9b4cb1f7680f73cbc717299bd317d8b6b938a85517ed96486550c0479d72

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=sha256:7b79685d6c0bcf8dcc2452cff49a7178bb8adbe46c8a8b7c0dc4b9642997f80c

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:f41c744a4cbcc661c1077f9e983b45020fdd8db86520942a63aaf0f710dba078

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:d28820c6218ff98c721467c795c86bf0b7296483aa20b16184e357e95ae85446

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=sha256:05cd8ce753d53cfeb7bdc4f56d82e660ebc2f78a0530246ec66b8e291eddfc84

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=sha256:1a3cfec307828999112033a44d8839b5be519fa47ba3ada7fab937a03b742614

Pith citing papers

No inbound Pith citation observations are available.