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Paper Citation Record · LEDGER

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2508.01505.

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

pith.paper-citation-record.v1
2508.01505 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:40:27.369261Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:36:57.713976Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:36:57.816111Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef585be6-f18d-42a3-bd9f-8304bb3df382 · outbound

This paper cites Deep learning for computer vision: A brief review,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Deep learning for computer vision: A brief review,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.659836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:25.872299Z digest=sha256:366940b22f9649a04a212ebc8db2380224c13fde820a978818ee6e0e7daa7245

Observation 490bb942-86d4-4ebc-8b9a-34d4d802a8c8 · outbound

This paper cites A survey of the usages of deep learning for natural language processing,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search A survey of the usages of deep learning for natural language processing,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:26.082575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:26.082575Z digest=sha256:5ab1235f10ce941b12ceeac5fb2ca32c7e89ea4f5430e79db94fa9ba126b7555

Observation b7b16da3-97a0-4170-b4bb-aae539368f91 · outbound

This paper cites A Survey of Large Language Models.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search A Survey of Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:26.219934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:26.219934Z digest=sha256:7b8a69bcfbf618b9aa22ef5ae6bf38da3694931c0fabf15ebc2896f2e25ce150

Observation 430192d6-62bc-4a25-9306-081552e04903 · outbound

This paper cites A survey of accelerator architectures for deep neural networks,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search A survey of accelerator architectures for deep neural networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.635286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:26.375836Z digest=sha256:6572d184dcaa5cd340ac2433b7f32785f52c94f78786ee3d6a644b66613d0da3

Observation 79a20d9d-a962-428d-9f0a-97bd0ae5ffb3 · outbound

This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Once-for-All: Train One Network and Specialize it for Efficient Deployment

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:26.466244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:26.466244Z digest=sha256:e24468cdde0d72404f00478483791e28349f0ad95bd1365ba6493291099409b8

Observation d1774820-bf74-43a8-97b7-4f63b0fd240c · outbound

This paper cites Hardware-aware neural architecture search: Survey and taxonomy.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Hardware-aware neural architecture search: Survey and taxonomy

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.620535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:26.614952Z digest=sha256:7567068d08bfca010a3dccaf8c5baa817a0af5a4f8eae422e86056e900a8885e

Observation 91ed5ab6-0df4-4739-a210-9cba7b3f72b6 · outbound

This paper cites Netadapt: Platform-aware neural network adaptation for mobile applications,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Netadapt: Platform-aware neural network adaptation for mobile applications,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.606675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:26.782700Z digest=sha256:a5e468490677a150e7b9a18aa72136536c04d69407480cc11e54da6804dab99a

Observation 4cdf547a-dcfa-4206-9991-f4ad0b640432 · outbound

This paper cites ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:26.919036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:26.919036Z digest=sha256:31aea7029cfa3901aff6840c7fbb56f6dbcb15d661f4c438d109ac3b19befc10

Observation 7ccde576-d3ce-458a-93e2-cd4f0d83b2d1 · outbound

This paper cites Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.593344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.031734Z digest=sha256:5dc12ea45ba63ad0c6697bacc386afbb6e8061bffbc1a21f5dfd185e9b454985

Observation ed2560b2-177c-4144-88cb-592d0f5f6abb · outbound

This paper cites Apq: Joint search for network architecture, pruning and quantization policy,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Apq: Joint search for network architecture, pruning and quantization policy,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.578952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.135880Z digest=sha256:167976015ad206e578de0708522ad7698ba2ea52635d3585db179df3fdbedaa8

Observation 41e028b0-5cc8-4434-b108-a62cc2395abf · outbound

This paper cites HAT: Hardware-Aware Transformers for Efficient Natural Language Processing.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:27.231960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:27.231960Z digest=sha256:febeb7b946a8e2711f1a270fb831d6281928b681e48c111503417503cc284087

Observation 4e95b505-9a99-4666-8823-74fbca670f39 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolu- tional neural networks,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Efficientnet: Rethinking model scaling for convolu- tional neural networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.564055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.335819Z digest=sha256:3fdc1f7cc8d4de10e918667fb8f4bda943b275d98046ee5419d442af44b868f2

Observation 6af294dc-e1b5-40c0-a0d6-bb6edf3dc435 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:27.344449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:40:27.344449Z digest=sha256:4119b9cfabe980ba3905009d7bff10d174a389d16ff1c464b8e6663329cb8fa1

Observation 1e7dd34d-3580-49f8-a5cf-9af990191177 · outbound

This paper cites Efficient Sampling for Predictor-Based Neural Architecture Search.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Efficient Sampling for Predictor-Based Neural Architecture Search

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:40:27.428204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.348722Z digest=sha256:f71c5fc331439aa6b33a93aebb9d18d7bd699fc2c9720b84d63ae2148e5eb027

Observation 739760a4-9222-465a-8952-7f48f09d2f9c · outbound

This paper cites Fbnetv3: Joint architecture-recipe search using predictor pretraining,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Fbnetv3: Joint architecture-recipe search using predictor pretraining,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.540467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.352815Z digest=sha256:528f1156841c075887d6db5cc36ffcb07697fdfa652a9074b0275c61b697da14

Observation ff8bb621-f5a4-43e6-a6a6-814892961166 · outbound

This paper cites Curious: Efficient neural archi- tecture search based on a performance predictor and evolutionary search,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Curious: Efficient neural archi- tecture search based on a performance predictor and evolutionary search,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.527494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.357172Z digest=sha256:7571e66e88ea4b58be63ee1ce5583d60d2569d1b99a7ac6c4ba9ff82550fcdba

Observation 8de642ea-bead-439f-b35e-7ee46520e002 · outbound

This paper cites Inference Latency Prediction at the Edge.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Inference Latency Prediction at the Edge

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:40:27.408768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.360878Z digest=sha256:56f24d0d469fcf5de76176d32876f461dc84fe7b4c290e1d10d96ab38495b1a8

Observation 05ac3bd1-feed-4d7a-8c74-ec85f00ed972 · outbound

This paper cites Predicting latency of neural network inference,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search Predicting latency of neural network inference,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.514479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.364874Z digest=sha256:6bba9381dcff00ce77398b94740c0a7d7b8cb9047c4926efc57ddee7db3c0eca

Observation 288e273c-e0a8-4670-a523-f9439346416f · outbound

This paper cites A generic graph- based neural architecture encoding scheme for predictor-based nas,.

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search A generic graph- based neural architecture encoding scheme for predictor-based nas,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:40:27.499978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:40:27.369261Z digest=sha256:d99cb451f6ce881202ae781ad8dc444ffeb034b213b744b2cd03e43a791ff36b

Pith citing papers

Observation f8c95bfa-b1dd-496f-afbe-49250b682c1e · inbound

DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset cites this paper.

DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:36:57.877203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:36:57.713976Z digest=sha256:2e3e1f09823731cfd586a27a5993427bf4ece8370bbfcaa5ef863e7b8d498efd