Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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:c6fe61a3b746d1a0a1e4d3a3c40c26c1b66db8e1189f0f318af7a0ac36b7be18

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=sha256:6239e2eece9a2ca775f3f73ac77607a383e920bba863b7a4445b21c08b88cc2a

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:e18e4dae5043d51db0ce5964e23b85604f208ed19a72f56c80a917520b731ff2

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=sha256:9d86ea689f006d93589c2b816edca795a849425523badb170c8f0808a5ac877a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.412901Z digest=sha256:e50ac7cdf1e194a61150a1c57b0a542b9f91658fd78dfa0641a1c27a9bda10b4

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=sha256:6abe9513d7b1cb430168c91f4fc0ee0548a7dc4cb6e0c4a0b046037d1d711ef5

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=sha256:664b0c4d7694424e67690d6c50ddd8f4e4987d68b27f210fdd2dafbef38355c9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.426472Z digest=sha256:cdd04ecc244db3198a74fa4a39d30358e85ff0b943c6a793ba6cb18574883b6b

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=sha256:5583c941a79f611a92b78e0dc61037fdbe560d4ff67658d4d874bf7c8923ecb8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.438073Z digest=sha256:b3a02cc73d21d64082dfef8b9e2493558406c89151b8409d08fa48ee35fd9feb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.443251Z digest=sha256:9d38096a7dc043caad18b6939d4839f9eae71f3b9042ef72690039a664629232

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=sha256:06b4f55fbbec76054d599ca3d572ca8c492d097ca8811062214be3632a6a54b5

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:f91ae9636a13e58ed71917ee15d7ff1e1910eb02954fb750f6bd611ec6da306a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.458772Z digest=sha256:ea74654e917c556f63641613d955d681f303348bc706955667f1e9d9f5d1ed47

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.466290Z digest=sha256:50ae2841480df43a0d106064791ba45b4bb5e475f69784a06081d930e7a00891

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.471909Z digest=sha256:1d6e02ae5ab0226ca18f9be797612305c0a0f7d50f3d459dd7fd36401f1b4637

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.477661Z digest=sha256:f779e37b7e57e61935f224f6daea49995394a370ecb6db515e58e9d5a0d5f20b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.483689Z digest=sha256:93a99d1e775d364e66333164c3ae40b9ac25ae97f5074f866a2cd549072e8821

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.488206Z digest=sha256:3ceb2450599034e229b150df464b55c7b18bfab584bd1a6cba0b2d76081e83d6

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=sha256:1f6fa50960a239a1ca491aa7306ec227dff14ad7a93cc0a62c499f957372eda1

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=sha256:5cb0763b5f77370b43c0851fa5c3684092b64c7729a414de0521bf561388e9fc

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

Resolution
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:f5f3bf3bc103cc053cf7199f17a37583ca92634c3b3c9cc6d26625f9b61c33b4

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=sha256:82eacadec692a75ad75cb31daca621c856d8bcf7a8f4c63e4e1c6919f1e7ac40

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:f696af71e020f01e3098e54a45349b4aa28c8d6680f8f120de249c73db0c3683

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=sha256:9367180cb9e7cc50283866cb0f2854f470bdd3e7621577a0fc99166a5a6c964e

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=sha256:20a6d00257cc59c209d9a2433909dedae83030ed372f6738138ff9d9cea67483

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:e7eb2d3c3f98dca2504bec82ccdb1041f0d8ff312942a47c26ebc290ebdf1566

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.530810Z digest=sha256:c164347c9202d7ce427fdca8b8c2f6db65c4495ceb5bfca5b8c436714aea687a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.540278Z digest=sha256:46d8223b6f9ec12196862e1e6ed8b2b58230b480630649f212b7899f6eb5de3a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.545028Z digest=sha256:cbba68b0c6c657a8956f133912be3743714e76a5b8f48201112f236ba18e4ab1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.549972Z digest=sha256:0ed12e1dae62772480d51de14a7a4a683b932f372617eb7451ff413700c55f5a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T16:51:18.554680Z digest=sha256:01e4e1180bff7a36bdbd967aa2ab2ce88a0e6b92c596c2d18a4bcc43b6dd9171

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:ad6f4d4e02db6ed0320e6b0bd8d9f18684afa762ecf35662cc39333cd860b011

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=sha256:4f86a958cfc0347a218c74d95be85cd1491e0a5447ebe27edb2b55cee1892c8f

Pith citing papers

No inbound Pith citation observations are available.