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Paper Citation Record · LEDGER

EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.11795.

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

pith.paper-citation-record.v1
2408.11795 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:11.721014Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.042301Z

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 430027dd-1209-4f15-b556-da903e608a05 · inbound

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs cites this paper.

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:53:26.369713Z

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.

source=pdf_text observed=2026-05-17T05:53:26.066674Z digest=sha256:bd838988d2709165108a28bbad39231d87b5987c6aa1b977c906483f23564ea6

Observation 0ab86f51-7054-440a-9b1d-2c94dd4b4332 · inbound

Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM cites this paper.

Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:11.721014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:11.721014Z digest=sha256:03492aeace0505da47f0e369746c4699cab54aed24904dc025e6aed845975ffe

Observation 008b2fb9-ad13-4f06-bd4a-2096d909047c · inbound

Progressive Scaling Visual Object Tracking cites this paper.

Progressive Scaling Visual Object Tracking EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.592996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.592996Z digest=sha256:970ee55642a27d1cb7347e6ba7ecb8557b68ed8ad6f6a1e25c66cefb8b878eb0

Observation 3294a5e3-16a9-4242-8d3b-63e808f28ae4 · inbound

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking cites this paper.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:50.004612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:50.004612Z digest=sha256:8acd153251806bfaa2aa237c59bac362fab9579311d29fef60d92397ac57b0ab

Observation 4372f23f-e849-4011-8f2b-518adbcbefae · inbound

Sample-efficient Integration of New Modalities into Large Language Models cites this paper.

Sample-efficient Integration of New Modalities into Large Language Models EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:27.496538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:27.496538Z digest=sha256:e3177109ad78e7b1501aaa8286ec9d1f217147d321722e2b06d021584f85f560

Observation 0de489e6-f638-43b8-8e86-eff7f80887c5 · inbound

The Hidden Evolution of Disguised Visual Context inside the VLM cites this paper.

The Hidden Evolution of Disguised Visual Context inside the VLM EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:19:31.044345Z

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.

source=pdf_text observed=2026-06-26T18:08:56.044278Z digest=sha256:a5d4f8b1134b47c79e5445cbf1b3674d4572c654e28f58e3eb147c9fb3dcd23f