Paper Citation Record · LEDGER

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.19608.

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

pith.paper-citation-record.v1
2506.19608 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:14.697185Z

measured 39 of 39 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy25
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42411e55-4f43-44b6-8cc8-f7ddd6788903 · outbound

This paper cites Advances in neural information processing systems35, 23716– 23736 (2022).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Advances in neural information processing systems35, 23716– 23736 (2022)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:12.259491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1943048a-401f-4df9-a63c-98d724b2f621 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pat- tern recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF conference on computer vision and pat- tern recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.455299Z

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 681e562e-39e8-444d-b712-5a4f790fd7f8 · outbound

This paper cites Don't Stop Learning: Towards Continual Learning for the CLIP Model.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:12.409760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26cbfda-4b74-44e0-81f9-b2776f98777f · outbound

This paper cites In: International Con- ference on Learning Representations (2020).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International Con- ference on Learning Representations (2020)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:12.512164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3661bccf-1fe7-4d77-96cb-9c329155009a · outbound

This paper cites In: ECCV 2020-16th European Conference on Computer Vision.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: ECCV 2020-16th European Conference on Computer Vision

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.436238Z

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 39424f5a-30ce-41a2-8927-3914274574c1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.424048Z

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 b4f5469a-13d7-4493-9fa3-b3aeef88d929 · outbound

This paper cites Trends in cogni- tive sciences 3(4), 128–135 (1999) ChordPrompt: Orchestrating Cross-Modal Prompt Synergy 17.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Trends in cogni- tive sciences 3(4), 128–135 (1999) ChordPrompt: Orchestrating Cross-Modal Prompt Synergy 17

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.412479Z

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 1774b5f2-c949-47d1-a43b-9a905c6a923d · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.400394Z

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 a5cbf781-f218-4eca-ae2c-42256030c2ce · outbound

This paper cites In: International Conference on Machine Learning, ICML 2023.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International Conference on Machine Learning, ICML 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.387612Z

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 e2b26ca7-1e0c-4b79-b223-1e617c17f3a4 · outbound

This paper cites In: International conference on machine learning.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International conference on machine learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:12.950100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d17eb5db-a580-4ef7-bae5-d500d77119bc · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.366944Z

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 30367978-3833-4d83-afe2-ce46bbbd7ea8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.355309Z

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 6e944022-4d51-4536-a7b8-e93a97beaa38 · outbound

This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.344576Z

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 bab4f205-f896-4ddb-8d03-ab9f75bf2cf4 · outbound

This paper cites In: International conference on machine learning.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International conference on machine learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:13.170795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3f66d02-34a7-4006-85bb-845024848b96 · outbound

This paper cites In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.326562Z

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 f9b4450f-bcbc-4697-9c44-9dea05674596 · outbound

This paper cites IEEE transactions on pattern anal- ysis and machine intelligence40(12), 2935–2947 (2017).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP IEEE transactions on pattern anal- ysis and machine intelligence40(12), 2935–2947 (2017)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:13.354317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23fdb641-66b0-41f9-af68-1cde1e81989e · outbound

This paper cites Advances in neural information processing systems36 (2024).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Advances in neural information processing systems36 (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.307168Z

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 f53a7c9f-3f54-4192-bb5f-5d056d66d8c8 · outbound

This paper cites In: International Conference on Learning Representations (2018).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International Conference on Learning Representations (2018)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:13.469108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3883654b-eb32-4493-949a-7fb8b41f1ee1 · outbound

This paper cites Advances in neural information processing systems 32 (2019).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Advances in neural information processing systems 32 (2019)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.289283Z

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 5be71064-f3cc-40b6-95f5-4a0b9f9211a3 · outbound

This paper cites In: International Conference on Machine Learning, ICML 2023.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International Conference on Machine Learning, ICML 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.277834Z

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 3ff6db0c-3cff-4e55-aeb7-03f0f333f3ad · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Representation Learning with Contrastive Predictive Coding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:13.639071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa815ae6-9484-4b2b-8eec-d9d6aceda74e · outbound

This paper cites In: International conference on machine learning.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: International conference on machine learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:13.742143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5170ef-dfe5-4ca2-94d8-04300d417b31 · outbound

This paper cites In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.259148Z

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 b9ee57a6-3f1f-444d-b183-47847f48377f · outbound

This paper cites Progressive Neural Networks.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Progressive Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:13.851014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc000de-e37f-4a36-ab8e-106e6fe8bf83 · outbound

This paper cites Trends in cognitive sci- ences 12(11), 411–417 (2008).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Trends in cognitive sci- ences 12(11), 411–417 (2008)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.248434Z

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 da2ac601-0f95-45e6-bf86-44f3dc05b634 · outbound

This paper cites Advances in neural information processing systems30 (2017).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Advances in neural information processing systems30 (2017)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:17.146999Z

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 dad0afd0-d03e-4af2-aa0f-a2e2978888df · outbound

This paper cites CLIP model is an Efficient Continual Learner.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP CLIP model is an Efficient Continual Learner

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:14.045403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e29c6a-11ed-4b8b-a75b-5f970c049bc4 · outbound

This paper cites Three scenarios for continual learning.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Three scenarios for continual learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:14.085569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39842770-34dd-4364-8f01-0e8890eb7528 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 5682–5695 (2022).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Advances in Neural Information Processing Systems 35, 5682–5695 (2022)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:16.952906Z

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 c4a4eab4-7e40-4911-b103-54980c5735b7 · outbound

This paper cites In: European Conference on Computer Vision.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: European Conference on Computer Vision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:16.606032Z

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 c3b97236-0211-4fa9-96c7-9c7c0b314bb7 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:16.363422Z

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 be188268-d327-4c7a-96b7-4e06e2ac9e1b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:16.081890Z

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 478fddcf-e521-49a3-8bb2-7fa62c8134a4 · outbound

This paper cites IEEE Transactions on Multimedia (2023).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP IEEE Transactions on Multimedia (2023)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:15.781301Z

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 0d63abb4-47b9-443a-8500-462d67d38e6f · outbound

This paper cites In: 6th International Conference on Learning Representations, ICLR (2018).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: 6th International Conference on Learning Representations, ICLR (2018)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:15.501110Z

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 21d3d95d-f034-4e6c-a78d-50fa06a85a20 · outbound

This paper cites an unresolved cited work.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:15.210740Z

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 c9e7393e-70b9-40f3-b2b6-69d73291b7c3 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision (ICCV).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:15.106949Z

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 dc8c08bb-f280-4d38-8c9d-4e0ec27e44c1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:15.016033Z

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 c88817ff-56a7-411c-b5c2-f075e2112c9d · outbound

This paper cites International Journal of Computer Vision130(9), 2337–2348 (2022).

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP International Journal of Computer Vision130(9), 2337–2348 (2022)

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:14.627963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655a5927-75ee-4aa1-a8a1-5df1b49954bb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:14.890953Z

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.

Pith citing papers

No inbound Pith citation observations are available.