Pith. sign in

Paper Citation Record · LEDGER

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.08056.

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

pith.paper-citation-record.v1
2502.08056 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:38:02.572302Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:52:42.618059Z

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 6997861a-d0ba-4a32-a10e-ab4ee36f8421 · inbound

Single-agent or Multi-agent Systems? Why Not Both? cites this paper.

Single-agent or Multi-agent Systems? Why Not Both? Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:02.572302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:02.572302Z digest=sha256:3972581035f9d536f40ae2dce5b67dbed9587512db1820db301a001e04f4f320

Observation ce19083b-5ba9-4f51-b18a-a88d0bb19648 · inbound

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows cites this paper.

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:42.272015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:42.272015Z digest=sha256:1ea9752ba55f89d564e6812cc1b6fdc991687849920e40b5bf7bbfaac59ee673

Observation c776032a-4b86-450b-8332-fa3b7127f220 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:08:31.433370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:31.433370Z digest=sha256:9a27aebb7c4ce70f972d435ac41c80050d34dcf475ace80884fca553921886d5

Observation 0b396b62-aca9-43b6-945a-b42b203cfd50 · inbound

A Survey on Agent Workflow -- Status and Future cites this paper.

A Survey on Agent Workflow -- Status and Future Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:52:42.623185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:52:41.861501Z digest=sha256:e3a177b587adda42385a35d507879268e1ec49229a41a157bc98091a7967576b