Paper Citation Record · LEDGER

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.01676.

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

pith.paper-citation-record.v1
2507.01676 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:51:46.168848Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d40f24f-f3d2-4c0d-afa8-eaf423e8a01a · outbound

This paper cites Notes from the ai frontier: Insights from hundreds of use cases,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization Notes from the ai frontier: Insights from hundreds of use cases,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.399630Z

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.

Observation 207a757c-67d7-459d-bdcb-47d2ebb616b3 · outbound

This paper cites The Architectural Implications of Facebook’s DNN- Based Personalized Recommendation,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization The Architectural Implications of Facebook’s DNN- Based Personalized Recommendation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.378120Z

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.

Observation 48b3afcd-7f3e-4eca-bfc7-94cd045e2b44 · outbound

This paper cites FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.363920Z

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.

Observation ddec80d3-e9bc-42cc-8753-bdc8dd36b9f2 · outbound

This paper cites MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.349696Z

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.

Observation 0201601f-85fe-40a8-a2b5-69b79b26f92c · outbound

This paper cites EVStore: Storage and Caching Capabilities.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization EVStore: Storage and Caching Capabilities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.335338Z

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.

Observation c299cc9a-cce4-4daf-aad1-070ceab34788 · outbound

This paper cites AutoShard: Automated Embedding Table Sharding for Recommender Systems,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization AutoShard: Automated Embedding Table Sharding for Recommender Systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.320369Z

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.

Observation 646e4d43-1137-41f4-9284-4531ac06b93b · outbound

This paper cites 3.2 The A100 Datacenter GPU and Ampere Architecture,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization 3.2 The A100 Datacenter GPU and Ampere Architecture,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.306055Z

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.

Observation 7cf471ee-eac8-4602-9594-2cb0c1e8e5f0 · outbound

This paper cites Ascend: a scalable and unified architecture for ubiqui- tous.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization Ascend: a scalable and unified architecture for ubiqui- tous

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.289953Z

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.

Observation e1f3988e-05c0-4d56-9925-2a5b43bebfad · outbound

This paper cites Display advertising challenge,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization Display advertising challenge,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.273150Z

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.

Observation a7e565f3-e59f-4a4d-b7c0-93907e363bac · outbound

This paper cites Click-through rate prediction,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization Click-through rate prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.258664Z

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.

Observation abde373d-5dfa-4dda-942a-9461ec12581d · outbound

This paper cites How serendipity improves user satisfaction with recom- mendations?.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization How serendipity improves user satisfaction with recom- mendations?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.243645Z

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.

Observation 3aeaefc0-ee63-4cf4-8441-9692296d6ac8 · outbound

This paper cites Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.228518Z

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.

Observation 85c094ba-99c8-4671-b06f-8726496a8125 · outbound

This paper cites KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems,.

Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:46.211206Z

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.

Pith citing papers

No inbound Pith citation observations are available.