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Paper Citation Record · LEDGER

PEVLM: Parallel Encoding for Vision-Language Models

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2506.19651.

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

pith.paper-citation-record.v1
2506.19651 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:37:59.095922Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:17:09.834609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:05:57.990017Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec57643b-5e59-4896-b366-58d4b9bcd0ad · outbound

This paper cites B.; et al.

PEVLM: Parallel Encoding for Vision-Language Models B.; et al

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:37:59.682739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:58.909204Z digest=sha256:28577310e9413d5a0db95b49dce1eaf7e46822ca3f3df2ee8a4c189b96f7c952

Observation 5f897db2-af70-433c-a4c6-a181d7c13640 · outbound

This paper cites Qwen2.5-VL Technical Report.

PEVLM: Parallel Encoding for Vision-Language Models Qwen2.5-VL Technical Report

Reference 2

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no resolver link, observed 2026-08-15T18:37:58.914886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.914886Z digest=sha256:76ce5e426c90cecd7b0a6f4cf171ee3bf9902af3acd249533709d4a8f401d6c7

Observation 1086f908-087d-408d-96de-04d10a8cb811 · outbound

This paper cites E.; and Cohan, A.

PEVLM: Parallel Encoding for Vision-Language Models E.; and Cohan, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:37:59.666080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:58.920587Z digest=sha256:b37e9a82efea48a7e9da3c149fc2554a7bcdf055cde480e65c888ddab29b56f6

Observation f6d3cc2e-784e-4c7e-b42e-a8e4e127bff4 · outbound

This paper cites Metabolic scaling in small life forms.

PEVLM: Parallel Encoding for Vision-Language Models Metabolic scaling in small life forms

Reference 4

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no resolver link, observed 2026-08-15T18:37:58.926663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.926663Z digest=sha256:19bd378fb503bdd5fe3da573b062606827f30f8ff7ed41c3ff9d365505c2052a

Observation bf0f0076-ed43-4747-bc76-3697aa73b40f · outbound

This paper cites Connection of event shapes to the heavy-flavor baryon enhancement.

PEVLM: Parallel Encoding for Vision-Language Models Connection of event shapes to the heavy-flavor baryon enhancement

Reference 5

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no resolver link, observed 2026-08-15T18:37:58.932723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.932723Z digest=sha256:793d46523100c19a11e9de32eefb270c92f2364b3bff6c73960e079e62c5799c

Observation 6312f77f-ae96-41fb-9d8e-d037e8cc2d67 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

PEVLM: Parallel Encoding for Vision-Language Models LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T18:37:58.938190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.938190Z digest=sha256:7d41e667f27f142899a4cecb93e29a9dc1f43eab9a5f82db6300a49300608810

Observation 35d13144-643e-49da-844f-7de9ee9ae0b6 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

PEVLM: Parallel Encoding for Vision-Language Models Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 7

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no resolver link, observed 2026-08-15T18:37:58.944133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.944133Z digest=sha256:a376febcb7731c8b63858263885c08e1a6087458d5d81a8f9964c3986606d3cc

Observation ff7d88f6-f4ac-4571-89a9-046c719473df · outbound

This paper cites The Kazdan-Warner problem on compact K\"ahler surfaces.

PEVLM: Parallel Encoding for Vision-Language Models The Kazdan-Warner problem on compact K\"ahler surfaces

Reference 8

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no resolver link, observed 2026-08-15T18:37:58.949615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.949615Z digest=sha256:6bc5edc40f6baa1dbfd2f6f35c011c40e88b7e45416813c3c72ecc025c445df0

Observation 3402fc28-2d95-4ab3-987c-3ca56b4cf08d · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:58.955306Z digest=sha256:69d300fcfae0fdd800b93e9d5a7e60c10f06b3915b43ba9f3d75896a5e54de95

Observation cf558565-c28d-4480-b2ed-50195fabf28a · outbound

This paper cites Time-Transient Wireless RF Sensor with Differentiative Detecting Capability for Target Ionic Solution of Water and Dielectric Objects Introduced into Water.

PEVLM: Parallel Encoding for Vision-Language Models Time-Transient Wireless RF Sensor with Differentiative Detecting Capability for Target Ionic Solution of Water and Dielectric Objects Introduced into Water

Reference 10

Resolution
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no resolver link, observed 2026-08-15T18:37:58.960310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.960310Z digest=sha256:0a751c9dee3e51426290e6be26c52f99716894ebb78f9792cff2f469e1b19167

Observation e4086921-1ee2-4750-a572-0c1d470f44b9 · outbound

This paper cites See What You Are Told: Visual Attention Sink in Large Multimodal Models.

PEVLM: Parallel Encoding for Vision-Language Models See What You Are Told: Visual Attention Sink in Large Multimodal Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.965659Z digest=sha256:b872d70db7ba8db0ef1d9f10b00c88acf854b3b9c52e7082b1b1c0d70264b568

Observation 4e19a9ef-1022-4344-adc7-349a5b8eb20c · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

PEVLM: Parallel Encoding for Vision-Language Models Efficient Streaming Language Models with Attention Sinks

Reference 12

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no resolver link, observed 2026-08-15T18:37:58.973138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.973138Z digest=sha256:b3301156d7408ffbe2627f819543b22551ae4550dbbf1f30e5d15543cf11de29

Observation 8025eddb-a85d-4192-821f-14ec78e1d0cf · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:37:59.631881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:58.978954Z digest=sha256:86db2187cebc152f110f60879e8f733eccdbb8753ea6c89e9875d892cb690d8c

Observation d490d203-fc5f-444c-adb2-d1056550f63e · outbound

This paper cites MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.

PEVLM: Parallel Encoding for Vision-Language Models MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Reference 14

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no resolver link, observed 2026-08-15T18:37:58.984224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.984224Z digest=sha256:3bc6dbfe6be81a41525089cfc99d287d6f2ae643de860881c023fb23d2c55be2

Observation ab0ca568-1ac7-49c2-8f74-1e19c24c80b9 · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-15T18:37:59.616422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:58.989674Z digest=sha256:76664d3f43ad4b540ffabe0e10ffdc047e8ccb29dfcded944f90948e8c1b99fd

Observation 047844d6-371c-4d95-9b1d-ca8a9f38e047 · outbound

This paper cites FocusLLM: Precise Understanding of Long Context by Dynamic Condensing.

PEVLM: Parallel Encoding for Vision-Language Models FocusLLM: Precise Understanding of Long Context by Dynamic Condensing

Reference 16

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no resolver link, observed 2026-08-15T18:37:58.994348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.994348Z digest=sha256:5df2b72a5c20a9bb0779db04d0a7a5d23b48c2450b6f3c970dc2598beb61e955

Observation d21233de-c0f6-4cd3-9114-462ba07ee34e · outbound

This paper cites F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P.

PEVLM: Parallel Encoding for Vision-Language Models F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P

Reference 17

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no resolver link, observed 2026-08-15T18:37:58.999389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:58.999389Z digest=sha256:359a59199256617c1e67a8f2f7997a57734ffca9c1915ab94c51b24971a54a95

Observation bfeb82a2-c625-43e6-9fdd-67ddfa07213b · outbound

This paper cites Robust Bayesian Method for Refutable Models.

PEVLM: Parallel Encoding for Vision-Language Models Robust Bayesian Method for Refutable Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:37:59.311242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.004156Z digest=sha256:a5c5cb7f03f0e58aa6af6537c8ee6e1a591799d4ac2b5686c68d341be2eff3af

Observation 893955ca-0f94-42ab-a852-13e4c8efe289 · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:37:59.592222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.009145Z digest=sha256:921d5a78d7b88d4a17c4bd45352eba6bfd938e158e8c61d620c223555c4dd7e6

Observation 3213bfb6-70c4-4b01-b1e7-eea06aa82be4 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

PEVLM: Parallel Encoding for Vision-Language Models MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 20

Resolution
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no resolver link, observed 2026-08-15T18:37:59.014097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.014097Z digest=sha256:3e4fdd939897b22e6f47a22e825930713871a4edc5d8726f305e537751296c37

Observation 45fb3e26-c156-4315-aeb6-9a2fbf54690e · outbound

This paper cites TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text.

PEVLM: Parallel Encoding for Vision-Language Models TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

Reference 21

Resolution
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no resolver link, observed 2026-08-15T18:37:59.019141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.019141Z digest=sha256:d33dcd82b892516faa131707b44a282967b8d45701002b9a1ac7158b052fff5d

Observation 35115952-9044-4145-9578-9cd3f2533e56 · outbound

This paper cites Block-Attention for Efficient Prefilling.

PEVLM: Parallel Encoding for Vision-Language Models Block-Attention for Efficient Prefilling

Reference 22

Resolution
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no resolver link, observed 2026-08-15T18:37:59.024047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.024047Z digest=sha256:55f9964fdbd74394eec7cfa297c8ce484ddf1b3b59fdae68855f91d8199bb9dc

Observation 3d873379-3bd8-49cd-8044-ff41d72a6d91 · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-15T18:37:59.029882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.029882Z digest=sha256:045296591fdec36e4c6aac0357bad03b0321e2988d8880aab0ae68eb7a68645e

Observation ba50c44e-d1c0-4608-9980-79f339380137 · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 24

Resolution
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raw_fallback, observed 2026-08-15T18:37:59.564690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.035060Z digest=sha256:bcb74aeb8379842eed995986bd0fea2030e728bbd65869603512324159d86d0a

Observation 0377c4f0-b363-495e-a3cc-e7532079926b · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:37:59.549053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.039875Z digest=sha256:bade371ad6eb3a0291b938c4e8c598a91c195bb7962432568f01f230bb413093

Observation 3ecb271d-02ec-4e57-b75e-48f7af9b5028 · outbound

This paper cites Parallel Context Windows for Large Language Models.

PEVLM: Parallel Encoding for Vision-Language Models Parallel Context Windows for Large Language Models

Reference 26

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no resolver link, observed 2026-08-15T18:37:59.044692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.044692Z digest=sha256:0408fcaec691681b8b134481991e1d45b6192e8050d6d4436dc01a87c0b8988f

Observation a8cfbe6d-2231-4c8b-8721-906e352e75b4 · outbound

This paper cites Massive Activations in Large Language Models.

PEVLM: Parallel Encoding for Vision-Language Models Massive Activations in Large Language Models

Reference 27

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no resolver link, observed 2026-08-15T18:37:59.050314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.050314Z digest=sha256:d71deb493775bf6e1fa84091b3fae7e5f5bf8f9fd99cecfbe528897b5eff4373

Observation d4a4adf9-5493-4135-9bd3-3bc2643f4b71 · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-15T18:37:59.531659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.055422Z digest=sha256:d8494b3d732eadf0a7c6ab87060f0eb17a2ea1bba59938b3af76388133462e5f

Observation e2f16849-d3b6-4f79-8f49-8025349f590a · outbound

This paper cites Softmax is not Enough (for Sharp Size Generalisation).

PEVLM: Parallel Encoding for Vision-Language Models Softmax is not Enough (for Sharp Size Generalisation)

Reference 29

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no resolver link, observed 2026-08-15T18:37:59.060322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.060322Z digest=sha256:76a2044729f16fc4f8ce6ed3b77f706309806c6e3cbf023d958f8425f8d99947

Observation 9744f1cc-06a1-4d44-a00b-c8fcec72b221 · outbound

This paper cites Clifford algebra Cl(0,6) approach to beyond the standard model and naturalness problems.

PEVLM: Parallel Encoding for Vision-Language Models Clifford algebra Cl(0,6) approach to beyond the standard model and naturalness problems

Reference 30

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unresolved
no resolver link, observed 2026-08-15T18:37:59.065629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.065629Z digest=sha256:995ba9e571251febc574971272df3b06e0cf5b752b22041c47beb150fdc8f960

Observation 2275138c-f067-4a93-ae58-2c934f4befeb · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:37:59.515058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.071345Z digest=sha256:3be34f1e2776ed0aba0c0049120487567d0ef3a3e9750498bea6195d780b422b

Observation 16baed7a-b570-45b1-b29e-a1c95c4b091c · outbound

This paper cites Long-Context Language Modeling with Parallel Context Encoding.

PEVLM: Parallel Encoding for Vision-Language Models Long-Context Language Modeling with Parallel Context Encoding

Reference 32

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unresolved
no resolver link, observed 2026-08-15T18:37:59.076039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.076039Z digest=sha256:3dfdd7e29d994e0a237b0075274fbf768649927dc9f47dfdf250653846e2dc9d

Observation ffeeaffb-9997-4dc8-ba12-06774c8b5f97 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

PEVLM: Parallel Encoding for Vision-Language Models Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 33

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no resolver link, observed 2026-08-15T18:37:59.081246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.081246Z digest=sha256:7dd3572f0c0a141000a02f1b952164c3d0cc86f8b6360d808d76a2742ab8964e

Observation e07ddd8d-8e4e-428e-8703-371b9de17fae · outbound

This paper cites an unresolved cited work.

PEVLM: Parallel Encoding for Vision-Language Models Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-15T18:37:59.498764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T18:37:59.086042Z digest=sha256:dc6d77e3c8344d08306c74ac540d97b019ff5172c63941d660ab04a0fbb24132

Observation 5c6f9491-42ce-493a-9381-f9032109337c · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

PEVLM: Parallel Encoding for Vision-Language Models LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 35

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no resolver link, observed 2026-08-15T18:37:59.090863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.090863Z digest=sha256:85523bf3a011d516175ff6a44a8d810613c0ff8555a45cf5763a16eb416d9158

Observation 13235896-b8b4-4127-ae9a-178803805ee3 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

PEVLM: Parallel Encoding for Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-15T18:37:59.095922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:37:59.095922Z digest=sha256:30d64ea0c7067dab1a74f264012d5cdd9e10c56303d0d1d026601c77590616ed

Pith citing papers

Observation 5489b355-2533-4bf1-916f-a55771522dbc · inbound

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation cites this paper.

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation PEVLM: Parallel Encoding for Vision-Language Models

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:05:57.992297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:17:09.834609Z digest=sha256:c905a674f2525ef1900e044c958a8635aa961243be03daf6048bbc9c6318cca7