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Paper Citation Record · LEDGER

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.16386.

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

pith.paper-citation-record.v1
2403.16386 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 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:54.221413Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:25:37.183065Z

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 7334dfdb-590d-4228-92f9-4b68b403c077 · inbound

Large Language Model with Region-guided Referring and Grounding for CT Report Generation cites this paper.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T14:15:56.067421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:15:56.067421Z digest=sha256:51ea6f9776ec8408cb4c925a15a4ab972a631a7d039cbe46adb4a224e656aba1

Observation ba33f892-2f0e-4be3-a9cd-6baec56489cd · inbound

MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement cites this paper.

MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T11:22:33.427903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:22:33.427903Z digest=sha256:b660072c593363bb1ba625acda9badd78ac30b864b414a257f8e7255d639283c

Observation 8e5ccbad-cc9d-42b8-a524-0ed77dfe20e5 · inbound

Multimodal Large Language Models for Medicine: A Comprehensive Survey cites this paper.

Multimodal Large Language Models for Medicine: A Comprehensive Survey Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:54.221413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:54.221413Z digest=sha256:edcd19a146fe7b590a1ae28667f3a31b1308ab10dc0fa269cb4ab24af0a51ba4

Observation 3a2baa62-f388-436a-95e3-6391794fb94d · inbound

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding cites this paper.

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:07.652832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:07.652832Z digest=sha256:bdece1aa144a993742d0cf5cf0b320ccc5f954c5a7f0dc3deb4927e45e324da1

Observation aa1515a5-dcf2-477d-a8cf-328f3738d772 · inbound

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning cites this paper.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:53.565456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:53.565456Z digest=sha256:c693d9cf4805d88a9bd84ebff45d9c1cf0cddcd57cfe76b0875878c03a02e1bd

Observation 56244bfb-ed67-45a2-8988-2f80e98ebebd · inbound

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation cites this paper.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:12.198866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:12.198866Z digest=sha256:942be6736ff95537d4e0d4dd020b969e8a2260b1cdd04411d967fc6db69fe74e

Observation 07610882-ed2f-41ee-b767-f28ccb98c3e9 · inbound

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation cites this paper.

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:49.061100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:49.061100Z digest=sha256:ef6ca5428050d3721783a8ce5c53565c5ac35c5a5f41c45194ed0b33ee48d73a

Observation c97ea642-e602-49e5-8098-b3894d5c2024 · inbound

Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear cites this paper.

Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:25:37.187222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T23:25:36.797632Z digest=sha256:fea43abcd4d4abf6b186c730fb09b715bbb6cd374a77aa408d835413d4d7f038