Paper Citation Record · LEDGER

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2106.11297.

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

pith.paper-citation-record.v1
2106.11297 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:28:48.407448Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:57.309052Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f5d6fb1a-b50a-43e6-b7e3-d0504daab814 · inbound

Florence: A New Foundation Model for Computer Vision cites this paper.

Florence: A New Foundation Model for Computer Vision TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T09:38:09.558580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30516c5a-679c-47c5-afd6-0be2ed571833 · inbound

PaLM-E: An Embodied Multimodal Language Model cites this paper.

PaLM-E: An Embodied Multimodal Language Model TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:29:30.012482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c39a0be2-f050-43b9-b048-64ff5f04c902 · inbound

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing cites this paper.

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T18:28:48.407448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa12944-ddd0-4c44-b1b4-c285d500fa91 · inbound

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory cites this paper.

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:57:17.864851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20eb1f78-df11-452c-8d85-d2e28be4e7f5 · inbound

Cross-Modal Dual-Causal Learning for Long-Term Action Recognition cites this paper.

Cross-Modal Dual-Causal Learning for Long-Term Action Recognition TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:10.126258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43973908-3670-483a-aa6a-24b75984db3a · inbound

Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms cites this paper.

Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T05:44:19.783785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe25348-7814-438d-8213-2927ef1591f0 · inbound

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance cites this paper.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:15.404908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f421aac-06a1-4aea-b0b3-ee1b5bee056f · inbound

A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models cites this paper.

A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T21:31:35.530259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b86630-081a-4e87-b794-675d41d62a52 · inbound

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies cites this paper.

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T03:56:05.496346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165234c0-d7f8-4856-8725-9299041fa718 · inbound

VolumeDP: Modeling Volumetric Representation for Manipulation Policy Learning cites this paper.

VolumeDP: Modeling Volumetric Representation for Manipulation Policy Learning TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T23:00:31.128534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4406e2e2-1d2a-4158-b0ea-ec86cfa3b9d9 · inbound

Why Training-Free Token Reduction Collapses: The Inherent Instability of Pairwise Scoring Signals cites this paper.

Why Training-Free Token Reduction Collapses: The Inherent Instability of Pairwise Scoring Signals TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:02:25.416558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fef50d5-e49b-4462-81b9-bd9f7a21d282 · inbound

Head Similarity: Modeling Structured Whole-Head Appearance Beyond Face Recognition cites this paper.

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:55:52.997875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation febe5295-0f6b-4e26-9148-b2cca8ad8efd · inbound

FlowNar: Scalable Streaming Narration for Long-Form Videos cites this paper.

FlowNar: Scalable Streaming Narration for Long-Form Videos TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:12:34.739821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa4617a4-e2da-43c2-a07c-c1e12f017da7 · inbound

See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs cites this paper.

See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:36:24.027110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48025284-28ab-4294-8957-8eccd88a7b8f · inbound

Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models cites this paper.

Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:39:29.530970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1d9f042-20ba-47ca-b090-35e5a176ecdb · inbound

EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding cites this paper.

EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.310471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f721aee8-9c59-4278-b5f7-33c600d4a454 · inbound

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception cites this paper.

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.573225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b299ec41-e64c-4819-94c5-0e0e881431e2 · inbound

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception cites this paper.

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:40.915278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e59ce50a-90e3-4220-a333-c8ae05a661d9 · inbound

ATS-ToDMA: Adaptive Token Selection and Token-Domain Multiple Access for Cross-Modal Semantic Communications cites this paper.

ATS-ToDMA: Adaptive Token Selection and Token-Domain Multiple Access for Cross-Modal Semantic Communications TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T01:55:58.109603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d53f9a7-1533-4aa6-8abd-329d56327106 · inbound

Brain-Aligned Multi-Stream Video Transformers with Sparse Self-Selection cites this paper.

Brain-Aligned Multi-Stream Video Transformers with Sparse Self-Selection TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T17:32:32.351486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.