Paper Citation Record · LEDGER

A Practitioner's Guide to Continual Multimodal Pretraining

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2408.14471.

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

pith.paper-citation-record.v1
2408.14471 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:52.794251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.368193Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 12bfe676-3a58-4504-9577-cdf111d12204 · inbound

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning cites this paper.

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning A Practitioner's Guide to Continual Multimodal Pretraining

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:52.794251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45917741-758c-443e-808a-b5bd63e6c317 · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions A Practitioner's Guide to Continual Multimodal Pretraining

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.823061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2dd664-96d8-45b7-b4a5-be713e42acb0 · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting A Practitioner's Guide to Continual Multimodal Pretraining

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.828067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b86071cd-ca1a-47d7-9872-e67bd025f29e · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting A Practitioner's Guide to Continual Multimodal Pretraining

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:54.922475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3362d18-bfaf-4b26-9716-da4c314b9e6a · inbound

Rethinking Continual Learning for Speech and Audio: A Representation-Centric Taxonomy and Open Problems cites this paper.

Rethinking Continual Learning for Speech and Audio: A Representation-Centric Taxonomy and Open Problems A Practitioner's Guide to Continual Multimodal Pretraining

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:14:04.027840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae52ed00-bac2-4df2-9cfd-392142424c7a · inbound

CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning cites this paper.

CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning A Practitioner's Guide to Continual Multimodal Pretraining

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:26:23.158448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51621395-a540-44f5-ba1c-91d898260649 · inbound

ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning cites this paper.

ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning A Practitioner's Guide to Continual Multimodal Pretraining

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.958755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e95049c5-d37a-4da4-a9a6-83114da5d4b4 · inbound

Black-Box Continual Learning for Vision-Language Models cites this paper.

Black-Box Continual Learning for Vision-Language Models A Practitioner's Guide to Continual Multimodal Pretraining

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:49:44.369634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a23d5078-bbf8-4b2c-8b45-fa0a00b46b92 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models A Practitioner's Guide to Continual Multimodal Pretraining

Reference 248

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:47.509767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f866a2c9-3685-4219-93a9-70783a736d02 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models A Practitioner's Guide to Continual Multimodal Pretraining

Reference 248

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.117421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.