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Paper Citation Record · LEDGER

UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.02503.

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

pith.paper-citation-record.v1
2408.02503 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2026-08-07T04:46:48.750294Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:36:49.853247Z

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 c80410a0-366b-4f71-990b-2e05fc27441e · inbound

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models cites this paper.

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:48.750294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.750294Z digest=sha256:c1b23a0dceffc1beb3f06db20d64578f0b80dbf43d5f5e51100d190fcc61762a

Observation 83b38521-1920-433f-ab41-aeb4fffe3acc · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model

Reference 194

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:36:49.915358Z

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=2026-08-06T21:36:37.653347Z digest=sha256:64bfa221359df7e0848d7610fa3d09d6d220ef50e2e5f32e58dadf854f4a591d