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Paper Citation Record · LEDGER

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories

As of 14 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2602.12833.

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

pith.paper-citation-record.v1
2602.12833 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:44:44.026159Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06561b5c-5099-4bd5-9d9b-1d86c21c5736 · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:42.739735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:42.739735Z digest=sha256:71757fdf5b4ffd4abcb9f0966b8f92003412826c4eab82da169f0a20d48c5527

Observation 4d13c08d-4e46-4abb-97ea-2856fc8043a9 · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Capabilities of GPT-4 on Medical Challenge Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.362107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.362107Z digest=sha256:8db800e501dcc800e8d11248f49521de68857554e1def7ca318cfb3134d086e9

Observation 41206ed7-c57b-4b6f-ad6f-7f57ee5d0ea2 · outbound

This paper cites Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.670735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.670735Z digest=sha256:e9f35f5a3813324e189b10b45b8d19f319bb8b932b2e526d2f41145c52511845

Observation e5452b87-71a6-4877-8349-360e385be58f · outbound

This paper cites Generative medical event models improve with scale.arXiv preprint arXiv:2508.12104,.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Generative medical event models improve with scale.arXiv preprint arXiv:2508.12104,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.821415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.821415Z digest=sha256:c6370234934a420238f53b33d364b6b96cea08d2982bb440f92f9d825c3bfbfc

Observation 1fda7dea-be5a-4b4d-82d1-a733c0f7b49e · outbound

This paper cites Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.935604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.935604Z digest=sha256:aad066e2a366da32017fdca91436ed9035b11b19e51eab772166400cecd8168b

Observation 3f37bbc0-430f-4432-a0b5-a871e6936c42 · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:44.026159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:44.026159Z digest=sha256:83759ae22680c8545ae6931fe363ba43dd16f3be0d8bb0c69aade7b885ab0b3d

Observation c91d4b2c-2cf0-42d7-a563-9139c1770aa5 · outbound

This paper cites MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.486727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.486727Z digest=sha256:2f310a1744fb2072cce35edc641039638be1565b5cd941b8a1bae9e4514a1ea0

Observation 3036ea04-0192-46b7-9790-df5fde4432fd · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Long-context LLMs Struggle with Long In-context Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.039263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.039263Z digest=sha256:eadc81714223a2f394921253ce26fc5ca8a2bd3011d66ecbe0a301461519001f

Observation 77d05dbc-5b00-48d3-a278-396216f3d944 · outbound

This paper cites A comprehensive survey on long context language modeling.arXiv preprint arXiv:2503.17407,.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories A comprehensive survey on long context language modeling.arXiv preprint arXiv:2503.17407,

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:43.203896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:43.203896Z digest=sha256:4a2c541fd77d8311abd7d4dbfcf58a19d36c42e035cb6e1afa9d2b51ac9b26cc

Observation e905fa49-c81f-4e34-b251-4e1d17ed70e1 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T23:44:42.849813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:44:42.849813Z digest=sha256:aae678567905e89d411979e0f221fbe888c4f9be073179613cea8086200f1e24

Pith citing papers

No inbound Pith citation observations are available.