Paper Citation Record · LEDGER

Cross-modal Memory Networks for Radiology Report Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2204.13258.

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

pith.paper-citation-record.v1
2204.13258 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:23:18.078770Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T23:26:36.929289Z

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 05d89a90-dfa0-466c-b562-0c3c8c9ee5c4 · inbound

A Survey of Medical Vision-and-Language Applications and Their Techniques cites this paper.

A Survey of Medical Vision-and-Language Applications and Their Techniques Cross-modal Memory Networks for Radiology Report Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T17:52:01.767129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bd21061-c0e2-4b7c-b560-e7e2c9fa3983 · inbound

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation cites this paper.

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:23:58.096612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbbf14a3-323c-4d55-8dd2-933a31f2d8de · 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 Cross-modal Memory Networks for Radiology Report Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:56.019084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a337c0b7-230b-4408-b054-fdd9ccf4ea24 · inbound

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting cites this paper.

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting Cross-modal Memory Networks for Radiology Report Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:59:57.242697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dce3699-f6e9-4614-8343-a10261d1ce82 · inbound

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation cites this paper.

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T13:03:42.408694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877c4499-4bc5-4a32-bd77-873592db825b · inbound

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment cites this paper.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Cross-modal Memory Networks for Radiology Report Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:44:56.358414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116a89dc-8813-4efc-bb41-4428481dcd8a · inbound

Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2 cites this paper.

Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2 Cross-modal Memory Networks for Radiology Report Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:37.976984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e1d408-a82b-495a-a3b7-2414b8bcef57 · inbound

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2 cites this paper.

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2 Cross-modal Memory Networks for Radiology Report Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:06.125640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 675f7712-c16d-4b18-bf30-fed3e8ad30d5 · inbound

LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning cites this paper.

LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning Cross-modal Memory Networks for Radiology Report Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:43:05.459073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b856d66e-bc76-499d-8fc3-a5466cb3055d · inbound

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation cites this paper.

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:41.936456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bfda60-8833-40b9-bb21-6adaf0bbeb6b · inbound

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation cites this paper.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:36.924511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6a7184-3743-452e-b37b-29994f9f3119 · inbound

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation cites this paper.

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:54.940751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5017b6ed-5778-4efa-86fa-1eea3a5ef273 · inbound

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance cites this paper.

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance Cross-modal Memory Networks for Radiology Report Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T17:33:42.968753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57362884-5a84-46e9-bd77-9b350486c933 · inbound

Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework cites this paper.

Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework Cross-modal Memory Networks for Radiology Report Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:45:36.974773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbce5e9e-e861-4f64-a767-deef582974be · inbound

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning cites this paper.

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning Cross-modal Memory Networks for Radiology Report Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:28.724541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 444cf0f0-6a61-495d-a6e7-cf3d213360b6 · inbound

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation cites this paper.

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.014814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 669051f2-f626-4c9a-8eca-f3b75e63f2fb · inbound

Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation cites this paper.

Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:17.074131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 874506d3-51ba-4db0-aab0-101e0d91e7ab · inbound

EchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in Echocardiography cites this paper.

EchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in Echocardiography Cross-modal Memory Networks for Radiology Report Generation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:55:51.518809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0d4fb92-edb5-4551-873a-f02d41f21d7c · inbound

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation cites this paper.

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:45:40.563500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 474beb39-c7a6-418c-8c91-6453355a989e · inbound

Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-ray Report Generation cites this paper.

Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-ray Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T23:26:36.930694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 110467eb-5243-457c-ac92-bfbd8d8d2b32 · inbound

RadFusion: Towards Threshold-Controllable Radiology Report Generation cites this paper.

RadFusion: Towards Threshold-Controllable Radiology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T14:23:18.078770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.