Paper Citation Record · LEDGER

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding

As of 10 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2507.00469.

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

pith.paper-citation-record.v1
2507.00469 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:09.868287Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:35:49.701061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:20.419251Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy42
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6272539-9360-4762-94e7-0a45ba586bb1 · outbound

This paper cites Video understanding with large language models: A survey.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Video understanding with large language models: A survey

Reference 1

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Source-reported events for the cited work

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Observation bb2d897f-e206-49a3-aa69-669f6bfb42e1 · outbound

This paper cites Streaming long video understanding with large language models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Streaming long video understanding with large language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.133211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba333a26-2285-4504-9467-60836ada46f4 · outbound

This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Video-chatgpt: Towards detailed video understanding via large vision and language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.114910Z

Source-reported events for the cited work

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Observation 1d5546c6-d94b-4511-bf82-5801ad489c98 · outbound

This paper cites Rethinking video anomaly detection-a continual learning approach.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Rethinking video anomaly detection-a continual learning approach

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.095117Z

Source-reported events for the cited work

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Observation 16c1208f-b465-4d91-be0e-0c5c72f3b46e · outbound

This paper cites Pivot: Prompting for video contin- ual learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Pivot: Prompting for video contin- ual learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.076774Z

Source-reported events for the cited work

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Observation be0cba86-7118-4ddd-a6b8-23d282727f74 · outbound

This paper cites Vilco-bench: Video language continual learning benchmark.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Vilco-bench: Video language continual learning benchmark

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.057458Z

Source-reported events for the cited work

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Observation 9fb3674c-79c6-429f-89da-bcd48f3a5741 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Flamingo: a visual language model for few-shot learning

Reference 7

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Observation 853921d0-e29e-4748-9db0-b9e4ff8d915a · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 8

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Source-reported events for the cited work

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Observation 97fbd4bf-2de0-4ad7-9c8d-071bd28b01a5 · outbound

This paper cites Empowering large language model for continual video question answering with collaborative prompting.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Empowering large language model for continual video question answering with collaborative prompting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.018446Z

Source-reported events for the cited work

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Observation 4387515a-ed23-4597-8482-94b3d8d26d55 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.563955Z

Source-reported events for the cited work

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Observation bedfb2aa-8a0e-4099-ae5e-a129f9469584 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.570096Z

Source-reported events for the cited work

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Observation 8c1ed606-985c-4364-a7c7-33c305af57f7 · outbound

This paper cites Impaired auditory recognition memory in amnesic patients with medial temporal lobe lesions.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Impaired auditory recognition memory in amnesic patients with medial temporal lobe lesions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:11.000629Z

Source-reported events for the cited work

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Observation 992ee111-4505-4a66-9aad-6265aab1c3bb · outbound

This paper cites Anatomy of the hippocampal formation.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Anatomy of the hippocampal formation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.982465Z

Source-reported events for the cited work

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Observation 99261f31-7aac-4e6c-ba7e-5af3b16a0c59 · outbound

This paper cites The hippocampus supports multiple cognitive processes through relational binding and comparison.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding The hippocampus supports multiple cognitive processes through relational binding and comparison

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.963766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03b8f212-826d-454f-a342-abc339396c81 · outbound

This paper cites Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models., 2006.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models., 2006

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.942667Z

Source-reported events for the cited work

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Observation 1630fa0c-f558-46e7-ad1f-576a1319335f · outbound

This paper cites Pattern separation in the hippocampus.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Pattern separation in the hippocampus

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.924337Z

Source-reported events for the cited work

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Observation faaee701-dfd9-462d-a7b3-e616711e160e · outbound

This paper cites Pattern separation in the dentate gyrus and ca3 of the hippocampus.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Pattern separation in the dentate gyrus and ca3 of the hippocampus

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.905988Z

Source-reported events for the cited work

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Observation bd096740-f307-4ba8-8a15-206dc9b2cade · outbound

This paper cites TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 18

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Source-reported events for the cited work

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Observation f008b294-480e-4583-9d10-158fa845400a · outbound

This paper cites Towards lifelong learning of large language models: A survey.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Towards lifelong learning of large language models: A survey

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.887550Z

Source-reported events for the cited work

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Observation fb5b68ba-4707-4335-84a2-da2149083446 · outbound

This paper cites Recent advances of foundation language models-based continual learning: A survey.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Recent advances of foundation language models-based continual learning: A survey

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.864982Z

Source-reported events for the cited work

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Observation ea758b06-0d55-4587-be29-321cf5c95013 · outbound

This paper cites Ernie 2.0: A continual pre-training framework for language understanding.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Ernie 2.0: A continual pre-training framework for language understanding

Reference 21

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Source-reported events for the cited work

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Observation b2aab9c5-212f-401f-a4cb-8273ebc647e6 · outbound

This paper cites Continual pre-training mitigates forgetting in language and vision.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual pre-training mitigates forgetting in language and vision

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.834723Z

Source-reported events for the cited work

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Observation bd329ae6-cf4e-45d9-bf84-88b2e864f049 · outbound

This paper cites Do pre-trained models benefit equally in continual learning? In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 6485–6493, 2023.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Do pre-trained models benefit equally in continual learning? In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 6485–6493, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.817739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3a28d15-4050-4a44-a6d8-1de3b97291e5 · outbound

This paper cites Continual Pre-training of Language Models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual Pre-training of Language Models

Reference 24

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Observation 60b676ca-e899-47ab-8147-e8d331770fe5 · outbound

This paper cites Continual Instruction Tuning for Large Multimodal Models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual Instruction Tuning for Large Multimodal Models

Reference 25

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Source-reported events for the cited work

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Observation d1afe72a-ddac-4827-8c54-f6881fb837c4 · outbound

This paper cites Coin: A benchmark of continual instruction tuning for multimodel large language models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Coin: A benchmark of continual instruction tuning for multimodel large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.799743Z

Source-reported events for the cited work

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Observation d796b0a3-88df-4d0d-931a-c24c64476850 · outbound

This paper cites Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models

Reference 27

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Observation 435017b6-db45-4629-8d82-eb972d2b43f3 · outbound

This paper cites Copf: Continual learning human preference through optimal policy fitting.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Copf: Continual learning human preference through optimal policy fitting

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.781963Z

Source-reported events for the cited work

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Observation 02f7a3c9-130b-474f-8bad-562848b06f65 · outbound

This paper cites Continual learning for instruction following from realtime feedback.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual learning for instruction following from realtime feedback

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.762726Z

Source-reported events for the cited work

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Observation 6d888de0-3fb6-4c3e-b9ad-ec6ca166041f · outbound

This paper cites Slca: Slow learner with classifier alignment for continual learning on a pre-trained model.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Slca: Slow learner with classifier alignment for continual learning on a pre-trained model

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.744774Z

Source-reported events for the cited work

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Observation 9e3fc6f8-f047-4105-a42d-6c75416d9d4e · outbound

This paper cites Continual Learning for Large Language Models: A Survey.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual Learning for Large Language Models: A Survey

Reference 31

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Observation 593a25ed-0fa3-4826-92c1-56d3fb8a7cc0 · outbound

This paper cites Fine-tuned language models are continual learners.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Fine-tuned language models are continual learners

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.727012Z

Source-reported events for the cited work

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Observation 83444607-c869-46f9-b846-6587908ca20f · outbound

This paper cites Inscl: A data-efficient continual learning paradigm for fine-tuning large language models with instructions.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Inscl: A data-efficient continual learning paradigm for fine-tuning large language models with instructions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.709356Z

Source-reported events for the cited work

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Observation 3656dab3-33f5-4a98-9c0e-a26ca9e1420f · outbound

This paper cites Large- scale lifelong learning of in-context instructions and how to tackle it.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Large- scale lifelong learning of in-context instructions and how to tackle it

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.691229Z

Source-reported events for the cited work

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Observation e0e2c0a7-12b1-4247-bdb3-d29b61d660fd · outbound

This paper cites Progressive prompts: Continual learning for language models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Progressive prompts: Continual learning for language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.672878Z

Source-reported events for the cited work

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Observation 29e993d9-6a83-4bdf-860b-cbbfbe384a10 · outbound

This paper cites Exploring the benefits of training expert language models over instruction tuning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Exploring the benefits of training expert language models over instruction tuning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.654825Z

Source-reported events for the cited work

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Observation 0129f3dd-301f-4d52-90de-6f703d3841c7 · outbound

This paper cites Symbolic replay: Scene graph as prompt for continual learning on vqa task.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Symbolic replay: Scene graph as prompt for continual learning on vqa task

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.638231Z

Source-reported events for the cited work

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Observation 1117734b-42cb-4a68-8239-8807ff6368ec · outbound

This paper cites Decouple before interact: Multi-modal prompt learning for continual visual question answering.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Decouple before interact: Multi-modal prompt learning for continual visual question answering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.621285Z

Source-reported events for the cited work

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Observation db50b317-6510-4efc-ae61-a70418e07b4d · outbound

This paper cites Just a glimpse: Rethinking temporal information for video continual learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Just a glimpse: Rethinking temporal information for video continual learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.602047Z

Source-reported events for the cited work

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Observation d1722c7a-67e4-4b3b-adfe-da72cb7a8900 · outbound

This paper cites Continual learning of unsupervised monocular depth from videos.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual learning of unsupervised monocular depth from videos

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.583848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3cefa688-bdb9-4993-833d-040c42c5ae5a · outbound

This paper cites A baseline on continual learning methods for video action recognition.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding A baseline on continual learning methods for video action recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.564034Z

Source-reported events for the cited work

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Observation d6af3f9e-8d08-4207-ba83-4be081bb0d85 · outbound

This paper cites Class-incremental learning for action recognition in videos.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Class-incremental learning for action recognition in videos

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.540002Z

Source-reported events for the cited work

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Observation 5a35a6d0-3d5f-4581-984a-069393eb35be · outbound

This paper cites DAM: Dynamic Adapter Merging for Continual Video QA Learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding DAM: Dynamic Adapter Merging for Continual Video QA Learning

Reference 43

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Source-reported events for the cited work

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Observation 05016fda-4e84-4f47-8c8d-c8792e8f6b2d · outbound

This paper cites Continual predictive learning from videos.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual predictive learning from videos

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.522330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 718032b6-4196-4e5d-bbb0-df02ec997ad9 · outbound

This paper cites Vqacl: A novel visual question answering continual learning setting.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Vqacl: A novel visual question answering continual learning setting

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.505159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6797b0b-5cd1-4bd9-8d8a-029435adaacb · outbound

This paper cites A survey on vision transformer.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding A survey on vision transformer

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.771238Z

Source-reported events for the cited work

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Observation 305ff2c2-58ca-47b6-b8ad-4586a489adcb · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.477646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a10025e-f882-47da-9252-99da7e7aa598 · outbound

This paper cites Overcoming catastrophic forgetting for continual learning via model adaptation.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Overcoming catastrophic forgetting for continual learning via model adaptation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.458390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 395eccd4-9f1e-4a01-92eb-1898c71d3b7c · outbound

This paper cites The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.440391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 627cec0e-a8b8-4a89-8949-f0242f6a77fb · outbound

This paper cites Continual learning with deep generative replay.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual learning with deep generative replay

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.797405Z

Source-reported events for the cited work

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Observation 4c3c7ded-3288-43c8-b09d-2d95c859b566 · outbound

This paper cites Expe- rience replay for continual learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Expe- rience replay for continual learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.409186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5af59d81-2572-4806-be97-87468227574a · outbound

This paper cites Large language models are temporal and causal reasoners for video question answering.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Large language models are temporal and causal reasoners for video question answering

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.391667Z

Source-reported events for the cited work

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Observation 08ffc258-dea3-4cc2-a9a0-6d920d9b2d87 · outbound

This paper cites Learning to prompt for continual learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Learning to prompt for continual learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.816736Z

Source-reported events for the cited work

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Observation f2d7ec24-5649-4065-b5a2-ac473616d8b3 · outbound

This paper cites Next-qa: Next phase of question- answering to explaining temporal actions.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Next-qa: Next phase of question- answering to explaining temporal actions

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.822382Z

Source-reported events for the cited work

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Observation db0dfabe-e75c-48a7-9ffd-d349ac870ded · outbound

This paper cites Dramaqa: Character-centered video story understanding with hierarchical qa.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Dramaqa: Character-centered video story understanding with hierarchical qa

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.352032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a10dc82-92bb-4aa3-91ca-bd2f8e2781ce · outbound

This paper cites Star: A benchmark for situated reasoning in real-world videos.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Star: A benchmark for situated reasoning in real-world videos

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.833499Z

Source-reported events for the cited work

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Observation 67fac9e5-e7a3-4864-ad59-a7313ae966cf · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.324821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97dabfc3-2142-4219-8841-2698da72d4ae · outbound

This paper cites A unified continual learning framework with general parameter-efficient tuning.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding A unified continual learning framework with general parameter-efficient tuning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.306384Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 47cc6100-93bf-47a3-a486-2ae374d8285b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.849932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc987f5-24e2-4a58-8854-8c788f563bd7 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding An image is worth 16x16 words: Transformers for image recognition at scale

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.856783Z

Source-reported events for the cited work

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Observation 8e0749bf-a296-4e2a-8610-d282fee7d646 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Learning transferable visual models from natural language supervision

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.862620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c774e0ad-bb83-4f51-acf4-e4c488f67e54 · outbound

This paper cites general” instructions and E-Prompts for encoding task-specific “expert.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding general” instructions and E-Prompts for encoding task-specific “expert

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:20:10.265026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 88224d31-76e9-419f-a72b-6c5070e8814d · inbound

InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories cites this paper.

InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories Bisecle: Binding and Separation in Continual Learning for Video Language Understanding

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:20.420615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bb18f536-c3a9-4fe7-a69d-13bfa95cbc00 · inbound

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning cites this paper.

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning Bisecle: Binding and Separation in Continual Learning for Video Language Understanding

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-12T04:35:49.701061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.