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Paper Citation Record · LEDGER

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.07128.

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

pith.paper-citation-record.v1
2401.07128 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:11:20.117728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T01:57:50.397933Z

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 73067ee3-2403-4f37-86e6-e140487c122d · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 152

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.618836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:1277f3e689e0f331d860a4b437e7396ee398f33901101fe34cccfcb98265402c

Observation c026b283-8570-40aa-8c8d-fffc6ec62321 · inbound

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning cites this paper.

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:57:50.402917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T01:57:50.346715Z digest=sha256:96949b0aa6c8be7eb7cb3581fb938c33faf4673da193ebae657b981017473a5e

Observation dafeb8fc-71f1-40c9-8986-109187c47e06 · inbound

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models cites this paper.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:11:20.117728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:11:20.117728Z digest=sha256:afbe2148298100a0e9096277f718b6be8cb9ee086c973f43d78fd949e993479d

Observation 4f5a7349-bde9-4495-8742-449313288c75 · inbound

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs cites this paper.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:29.688141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:29.688141Z digest=sha256:813ad0673655fac74863e3e6e6dffc80a8a7d728479475107cf6dd55bef588f8

Observation 44637546-37a4-45af-9f19-36450d15649f · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:58.376475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:58.376475Z digest=sha256:fdd25b7aea271d5062a1872f9ca6d72849c8fbeaf54f106a046c355f7b7f0465

Observation 801b4b48-2457-47af-993b-d568698883b2 · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:02.954346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:02.954346Z digest=sha256:eae27374064a29d435ab28ac4f843e13e2124b977e0a0f18e2563816bbd8b86c

Observation f56cee30-502c-4158-ad75-e1ae8d007922 · inbound

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents cites this paper.

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-30T22:03:09.937895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:03:09.937895Z digest=sha256:50956ad2ac3d580447953d68c58d1a4f6a3b2e84c09f3d0343ec27ff6e01749f