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Paper Citation Record · LEDGER

Ansor: Generating High-Performance Tensor Programs for Deep Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.06762.

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

pith.paper-citation-record.v1
2006.06762 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:18.587768Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

82
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 61b60399-70d8-4395-9fd8-444d5b1eb3ab · inbound

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning cites this paper.

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning Ansor: Generating High-Performance Tensor Programs for Deep Learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:18.587768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:18.587768Z digest=sha256:7fa81740a5b05266ab06bcb016518823bd64d5aa67246a7d73401d23e798f3a1

Observation 5db91ea9-656c-48be-817d-1e68f09b5b2e · inbound

Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search cites this paper.

Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search Ansor: Generating High-Performance Tensor Programs for Deep Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:55:33.771865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:55:04.835146Z digest=sha256:a46e30fc6cf7e92762bfe039ff324995d894510f5f87f0ca4ed5d3ad333e68e9

Observation d8c21f14-0249-45e7-975a-676240a34043 · inbound

Prism: Symbolic Superoptimization of Tensor Programs cites this paper.

Prism: Symbolic Superoptimization of Tensor Programs Ansor: Generating High-Performance Tensor Programs for Deep Learning

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:03:24.962613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T09:01:38.783602Z digest=sha256:5fd0e02d8e28f3284dd326a914550dde7f0098c77e19f8a6da6f483f96b03ff3

Observation 76b6e48f-67d8-4b64-a65c-4707184e2d73 · inbound

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts cites this paper.

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts Ansor: Generating High-Performance Tensor Programs for Deep Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-09T01:54:34.180329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T16:39:35.128879Z digest=sha256:18900a118f890ea42da3d818d1c63f4b5f6ac589f9bbee0101832ab645e2d092

Observation 49362858-6bc0-4b55-ab8d-959f464e63cb · inbound

HTAM: Hierarchical Transition-Attended Memory for Operator Optimization cites this paper.

HTAM: Hierarchical Transition-Attended Memory for Operator Optimization Ansor: Generating High-Performance Tensor Programs for Deep Learning

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:33:14.016709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T07:26:46.105050Z digest=sha256:9ba7ab357c59581d936ea374d370c15bf757398a42b559e03f80a1064afee390