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Paper Citation Record · LEDGER

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning

As of 14 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 2 inbound Pith citation observations for arXiv:2508.08053.

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

pith.paper-citation-record.v1
2508.08053 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:43:31.345042Z

measured 6 of 6 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:21:27.552486Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.692173Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3d0976a-d2d1-4472-a63a-f88a57c3892c · outbound

This paper cites This approach enables reconstructions that are both smooth and artifact- free while preserving fine structural details.

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning This approach enables reconstructions that are both smooth and artifact- free while preserving fine structural details

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:43:31.816833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T21:43:31.196635Z digest=sha256:313f3b682ef11f59bf0ba809caf20d776da7a2e9b8436dbc32028d4eca5d7adb

Observation 5ff31a18-9c3c-4b42-b29f-184a53eda270 · outbound

This paper cites This constraint enables effective knowledge transfer while maintaining fidelity to the acquired measurements.

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning This constraint enables effective knowledge transfer while maintaining fidelity to the acquired measurements

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:43:31.713126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T21:43:31.225559Z digest=sha256:69f44aeccd6f984894f841384e70b28c60b76e8573d71cd8c5e87a1d48a2c768

Observation 6cd79316-2dbf-4000-8c17-7231ff1fa6b1 · outbound

This paper cites an unresolved cited work.

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:43:31.584786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T21:43:31.273952Z digest=sha256:6679ae3c5afa5e308631fad8096a612ad23f671a2bfbb9ddd3d553b9b0ffbade

Observation 4f2644bc-9568-412c-8a5c-f9a0e73092d8 · outbound

This paper cites Our results highlight the advantages of leveraging both global priors and instance-specific refinements for improved MRI reconstruction qual- ity.

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning Our results highlight the advantages of leveraging both global priors and instance-specific refinements for improved MRI reconstruction qual- ity

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:43:31.468716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T21:43:31.345042Z digest=sha256:77a3334891daf7371e5e0d91366bb0d7c1f6823ab3e2a374c20c0c226066e278

Pith citing papers

Observation 6373bcc2-22a9-455a-b5a3-f9f3e9ca7265 · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] AdaptFlow: Adaptive Workflow Optimization via Meta-Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T17:21:27.552486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:21:27.552486Z digest=sha256:eb93337609f4a02180976a404c17100a48ad8eaaa1901178d50f85d96f77c671

Observation 531f80b9-2e90-46d5-a432-0a32aaba71a2 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents AdaptFlow: Adaptive Workflow Optimization via Meta-Learning

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.693682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:45917b94459e7c4d5c125e0379f33f29ab7bb5800f5e335ef1ab7daac7da84f0