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Paper Citation Record · LEDGER

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.15428.

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

pith.paper-citation-record.v1
2507.15428 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:38:45.952148Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T14:50:58.269817Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:51:08.143302Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56dbe068-b6cc-4294-a171-d90fb95fe4b1 · outbound

This paper cites GPT-4 Technical Report.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:41.950030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:41.950030Z digest=sha256:ac2889231bffc0148ac6f07481ba20f4454feb6dd2c7589b9d417ccb3edd00d0

Observation f1919ae0-038b-4229-9e6f-8834da671e74 · outbound

This paper cites R.; Singh, G.; Akbari, M.; and Zhang, Y.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent R.; Singh, G.; Akbari, M.; and Zhang, Y

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:38:49.520371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:41.975235Z digest=sha256:a76e04d390e8101368beffd64e71f9f2dd6490e0acf82984cfa1d7fc7dea0389

Observation b4106f33-cd61-477d-9985-2dba92209a95 · outbound

This paper cites Y.; Rajbhandari, S.; Awan, A.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Y.; Rajbhandari, S.; Awan, A

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:42.067642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:42.067642Z digest=sha256:89ad40aac9b27de23573aa40a0bfb0270de4c0d4ab28fad21d2600b7e048efa9

Observation d4a59c0f-2ef7-47f7-b87d-fdbc293f6f3e · outbound

This paper cites Qwen Technical Report.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Qwen Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:42.119523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:42.119523Z digest=sha256:32672b62ed26fcf87fe1901cadbfaa86800fa87f3aa6b6fe12d5cc80efd5f52e

Observation b9207992-90e6-4111-83d2-9a3b5113ca8b · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:49.369512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:42.207757Z digest=sha256:5d45eeec3d9a4160f2cd458f5b8772213f1368b0bc9da6668bd4cd186786585a

Observation be54bec2-6cd8-4206-b486-fc9dba9a2031 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:49.246604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:42.291922Z digest=sha256:174022cc08481b85278c5e2fecf73c437585d9d4cf5c382d78214248e3b65586

Observation 46ee951a-305b-4d75-af65-8c237b50a789 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:49.099807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:42.382359Z digest=sha256:82714ebad632b50f612b83a384d864ef05f98b0a2871c1948d7b8a5001fb7d91

Observation 4ac0724a-20f7-47e0-929f-71fbaddbc0a2 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:42.477922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:42.477922Z digest=sha256:a3130a7dd7726458b4a193570fd764c875addcecda842e4bc4937ddaffe2e08b

Observation 71180714-fd33-44ba-bd92-53cd72f1e4d0 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:48.958553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:42.610393Z digest=sha256:3c9f200a10676e90e006a9e319209a4c93022711cc0dd8fac783fadd761575b1

Observation bfa314a0-0e21-48d5-b840-e651b8a68c41 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:42.683817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:42.683817Z digest=sha256:706ba46f7e507dc4a6cf21da213d51c038cdc01d3c596bb5d758598dc2c8e4b5

Observation f05ec387-8055-46a4-83bb-501158dcf80f · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:48.795541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:42.763419Z digest=sha256:ba0fd53da8298d6ab2a9d26d8d3187e12bae348aa4d36910412c9959f8525818

Observation a9780ded-e403-457e-91d6-02d58c22698b · outbound

This paper cites J.; Jajal, P.; Davis, J.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent J.; Jajal, P.; Davis, J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:38:48.663944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:42.856976Z digest=sha256:988817bae972b9cb91e524a0d9aa1eb48ee8522e851592acc2b8a126c2e4b270

Observation a7d86d45-83ed-4223-8015-2a37d398dc58 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:42.924749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:42.924749Z digest=sha256:f9e631512ebc2df52584701fe7dd3fc57cfdac6cc7fd75e9ddefb45da3f14813

Observation a1a6c153-3719-4612-bd49-0ed19b041091 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent LLaVA-OneVision: Easy Visual Task Transfer

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.006175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.006175Z digest=sha256:b391c9692ed05bc1469db4d4bfd792991c56e459e46b9798065fff6914afaffa

Observation 63dd22cf-0af1-4028-9032-ea85a420715e · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.097173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.097173Z digest=sha256:984016e78497eed4d7722e2c045d1760b400163f3f52addc6fa427e0bb34c4c6

Observation e4edf8d9-2055-4ef3-9d9c-be339becbab4 · outbound

This paper cites Improving LLM Video Understanding with 16 Frames Per Second.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Improving LLM Video Understanding with 16 Frames Per Second

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.162526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.162526Z digest=sha256:384ac93ee960cf3e4320e608d225690f4f473770eca09bf29ac5bedb6df7c114

Observation 50284853-06e4-4934-bf48-13725c06e4b8 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:48.537233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:43.235342Z digest=sha256:9667ccfd897e6be6fd191555b16907888c37cc14ed8dc774a2a547d6dcf5d55f

Observation e35cbd2a-a4d2-4eb2-9c19-d0ab1dadfcf9 · outbound

This paper cites Q.; Wang, J.; Soldan, M.; Wray, M.; Yan, R.; Xu, E.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Q.; Wang, J.; Soldan, M.; Wray, M.; Yan, R.; Xu, E

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.315649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.315649Z digest=sha256:9948e3eff43fdc85b88b029f6928c3e2f5443885d341c6fea01adc4853c5ac7d

Observation 5e52042c-45f4-473a-a365-c7f4e223a428 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:48.416500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:43.392303Z digest=sha256:79e53470c3eb519e5df0efac2d503d017a39353d7b5266220125e1111ebc1499

Observation 961aa130-3ae2-4b24-acef-df7d4462b668 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.478608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.478608Z digest=sha256:15acbf1b635b42472c5012dcb919cb92c234beaee4b9feac9ac737b9dff1c2b3

Observation 14fd29b8-ade7-4a14-8fe4-a11e9a1f509d · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.542525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.542525Z digest=sha256:63e9ecc909a90869a888f4a8c52322d5e79ca13e62b900422e8daab9a32d3b2f

Observation 33b96bcb-d5e4-49bb-993f-60a4551697d4 · outbound

This paper cites PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:38:46.573996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:43.617403Z digest=sha256:6c283c2acc14171083d925c433baa4934436364a0be8951ebf85a00125b3c5c9

Observation d84fe0f1-f01a-4ed3-9463-b8a5cf8bdbea · outbound

This paper cites A.; Pistilli, F.; Alliegro, A.; and Averta, G.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent A.; Pistilli, F.; Alliegro, A.; and Averta, G

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:38:48.278030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:43.696743Z digest=sha256:1e45407ff99cfc41b37356c4a919da091e426146110aa3946e2ffd9a339cd9b5

Observation 4b18e449-11f9-476e-a992-3a5f3b0bb5a7 · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 24

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unresolved
no resolver link, observed 2026-08-06T15:38:43.802860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.802860Z digest=sha256:3537d8ed4aad929d1c249f047c7f9b0183e7476f79db5e502f3120f38b53efb0

Observation a39092e4-3a0b-44e8-ade1-6d67846053ab · outbound

This paper cites Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.886353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.886353Z digest=sha256:8843027a706df08cc246ede490057f365e0e558b692b412542ff42bab10ed492

Observation da1fcaa3-c76b-4cb6-a7b7-28e65f9900a1 · outbound

This paper cites AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.950532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.950532Z digest=sha256:a6e69ba1b7737d437a5e4c6581f5fff7e2dcb3aae0bc4d2e71713a739dbc25bc

Observation 1eb42a30-4137-4c27-8820-0aea4ce1dc15 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:48.096699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:44.002709Z digest=sha256:4b919ed03193cd8d79d6a8f203b9b063d955f4dfecf4c2728f2b48e430b65a6e

Observation 0857d214-8b09-4b32-bde2-a8db65a697b5 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:47.881301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:44.066794Z digest=sha256:028a041983811cf8f0c966fabee395e9f8a59772cded7422019c4cb58e60afaf

Observation 182443fa-cc71-4c36-9575-6ad3d9662bb8 · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:47.699319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:44.139816Z digest=sha256:fe349fcb236b2787ca0f71ff118dd852abc53960f37de302bea6257145ba70c2

Observation 07447d08-1456-429d-b99b-4a80fdb0a4a8 · outbound

This paper cites N.; Kaiser, .; and Polosukhin, I.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent N.; Kaiser, .; and Polosukhin, I

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:44.228748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:44.228748Z digest=sha256:4f9918ce3731cab800f4613672e628f6296e76bb7097f62b1e7df2b7915945cc

Observation 47c54d47-f78f-446e-8beb-358f76c9e1b1 · outbound

This paper cites Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:44.318646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:44.318646Z digest=sha256:d9dfdebdf1f435e813f5daef4a376bb93a8b6d8222396a99db4086b2c621ac45

Observation a90730fa-8523-4b70-8c56-9b0562cdcd15 · outbound

This paper cites H.; Wang, Y.; and Ma, J.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent H.; Wang, Y.; and Ma, J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:38:47.481198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:44.380646Z digest=sha256:3e39a749889e05cce8e7e29afdfba73f39755030f2e31dd047b984749c8323a8

Observation 03b13a67-1de6-4038-bf0c-4304751599c1 · outbound

This paper cites PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:44.422057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:44.422057Z digest=sha256:edcea4aaf72744b2b1625e0d43ab7aece7a2b8a8408edb021bccca01b4fa8067

Observation 547caa49-6551-435d-917b-d1d744db11ba · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:44.481583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:44.481583Z digest=sha256:4158280ed67c8d3879557de0f83096136b3eba01df472a13934f0b36d4477742

Observation aeb21ae8-74aa-47d0-a8d8-7f338a969c23 · outbound

This paper cites W.; Han, R.; Fei-Fei, L.; and Xie, S.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent W.; Han, R.; Fei-Fei, L.; and Xie, S

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:38:47.245362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:44.548579Z digest=sha256:9dd6f01db0ef0808a11e8e3802878944ba4913ece63d016027e6a273c55bf0a8

Observation d47c5892-a8bb-4b80-a166-993b6f6cd56d · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:38:47.075019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:38:44.643620Z digest=sha256:9b55af9c3ac15c321cad531333c0050f96e051f35fa1e5f652de4a4d2af9cfb5

Observation d938463f-64c3-4ad2-8bb0-0f1ac0dd97a6 · outbound

This paper cites TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:44.871097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:44.871097Z digest=sha256:7379021d91577e35971bc08db2e6689d0d50f529ca803d2694c9da250424f2e5

Observation e14d7898-b98d-4291-869d-fcd8db78fdcf · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.046021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.046021Z digest=sha256:0d6e98e69dc95b9f3de550e4376fa4f991bef2e2d0462868daaf96e6d563d110

Observation a100daee-a229-48a7-b946-3ef67bac9ee6 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.172437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.172437Z digest=sha256:3f2f7cca82a6a74ac74f6295d7ec61efabe0744cfd68765d4c70555861217e05

Observation 20eedbe1-69b8-46a6-adc3-00dd90e4df93 · outbound

This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.376369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.376369Z digest=sha256:0c86d34bc1f169a0489ea43f396e531ae77c89c6a09977c7b1e58b4f108affee

Observation 00c809f9-844e-4f80-8722-f6bc21ce394c · outbound

This paper cites Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.462835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.462835Z digest=sha256:7a3e94d84b5b41d529138c3f819ab87e1774a62f1deeff769806325e8ae3ec6a

Observation da2a2cfb-ce36-4457-8938-c5ab46742040 · outbound

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

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.527724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.527724Z digest=sha256:fbd4cb9149d1b2d2550c41f1b8a3e1532ff029b2e6cdc0564549588fa63a33ee

Observation 48628f5e-3680-4cee-90fa-d9a925a913be · outbound

This paper cites an unresolved cited work.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.600485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.600485Z digest=sha256:6fb88d93226a7074b25826c5e05b59446c9838d7ceb24a3e245f57d335db0398

Observation e755f308-cb24-4476-a818-f080050e9f5a · outbound

This paper cites Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.707218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.707218Z digest=sha256:8f0f577b8e2aebecbf50d57f44edb2f1b0e3cd652eeb0629598ba70f0175269f

Observation 7b476f44-d19b-465c-8478-b0034375e911 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent , " * write output.state after.block = add.period write newline

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.796906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.796906Z digest=sha256:9d2d74a98a34f91584acac04563677ab316880320a843e5b1c700ca82c3b3669

Observation 8824a461-59e1-4733-bc21-eb01bc905533 · outbound

This paper cites write newline.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent write newline

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:45.952148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:45.952148Z digest=sha256:6f49912b256d07687a7c79bf4451d93144afe509c611af5238a8110575d4054b

Pith citing papers

Observation 3e842103-481d-4aea-9f11-109299d4f7bc · inbound

VLN-Cache: Enabling Token Caching for VLN Models with Visual/Semantic Dynamics Awareness cites this paper.

VLN-Cache: Enabling Token Caching for VLN Models with Visual/Semantic Dynamics Awareness EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:51:08.146628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T14:50:58.269817Z digest=sha256:c0945a0f297eca765353dcfc27b88c98887553a62b3fa363ab543603feca5b9a