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Paper Citation Record · LEDGER

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.04543.

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

pith.paper-citation-record.v1
2503.04543 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:11.802498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:56.646975Z

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 9a5d20cf-ee17-4674-bb4e-74987ebac73d · inbound

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process cites this paper.

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:11.802498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:11.802498Z digest=sha256:1b97fef5858acead7a3a94db04626461b3d6e6fc230f6d60b396d2ae1377f4e5

Observation c2d40b92-bdc9-48d3-8b46-44b7b4dd22c1 · inbound

Backdoor Cleaning without External Guidance in MLLM Fine-tuning cites this paper.

Backdoor Cleaning without External Guidance in MLLM Fine-tuning Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:50.921649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:50.921649Z digest=sha256:201870baaad8119319d442b827a00b4dc6848c7f083a70ae4b0380df7dba224b

Observation fa391586-71f5-42cc-81f2-7686f595f365 · inbound

AI Flow: Perspectives, Scenarios, and Approaches cites this paper.

AI Flow: Perspectives, Scenarios, and Approaches Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:15.426193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:15.426193Z digest=sha256:2d3d51681d4c7d4c08df8be3b37c4925dd3fee909f43a35745f04a81c9e13bf0

Observation 926282d5-a1f7-4f77-8489-13eab0551947 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:23.245168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:23.245168Z digest=sha256:e3e4088e1b6393d623cc00d994197b976a44d88d8e78e591295915f793c8bc36

Observation 09b70d92-c221-4c5d-bb18-351c279dd5fc · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T20:14:03.988119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:14:03.988119Z digest=sha256:751d8812b651b88a6e141480fbf67cdc0c2d1fcbcca0f92b9495d6181e88840d

Observation cfb15644-0bdb-4469-867a-493c877c12e9 · inbound

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T19:12:16.091691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:12:16.091691Z digest=sha256:e9af646252e0d07c4c41ffff4bae4f8081ec4c9dd70e7126f90e57e6255744f4

Observation 4131de5b-485d-4e7b-8dc1-3e9533187204 · inbound

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception cites this paper.

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:18:32.326926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T07:57:28.950520Z digest=sha256:258a5c74017f5d4ec0b90b3db53e46decd4975b4e2bfb107e8f70ec9e7618f13

Observation 1ad5d7c0-a289-4d49-896e-3daf0031abdf · inbound

Curvature-Guided Mixing for MLLM Adaptation cites this paper.

Curvature-Guided Mixing for MLLM Adaptation Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:29:56.648543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T00:42:56.323034Z digest=sha256:2896db0e6a3943adcc9bb809e0be7efd99fd8a5e47d48e102d91a7302866d9cf