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Paper Citation Record · LEDGER

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2412.01034.

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

pith.paper-citation-record.v1
2412.01034 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:02.750457Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:23:13.004392Z

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 d8b20428-4c1d-403e-9387-b86e1b507580 · inbound

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models cites this paper.

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:02.750457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:02.750457Z digest=sha256:0ff65a8893494a4822f131ffe0dd6a3649a31557ba64e35773055ca87ca352cd

Observation eee9980e-9827-4a9d-8c3f-a3dfa887a082 · inbound

RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models cites this paper.

RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:36:11.552526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:36:11.552526Z digest=sha256:85f94346fbc97cc04472477b00c658f0344a9f6a938a89070a89d92721627c33

Observation 00b85296-9c92-4382-9683-e00e090d5089 · inbound

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach cites this paper.

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T20:35:45.823612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:35:45.823612Z digest=sha256:b86f5cdea0b6df8ad77c067642a11bcdb1630fb9242072d40d384534beeef4c0

Observation 52a0cf88-eec8-4645-b428-aa74942be16b · inbound

Leveraging OS-Level Primitives for Robotic Action Management cites this paper.

Leveraging OS-Level Primitives for Robotic Action Management Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:42.813346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:42.813346Z digest=sha256:b41f5f18a00f4c3a09e3db0dc9a31efc7e0dddd3d38f9a2c4236909bc3f521fe

Observation ab9bc3ca-ba4e-46e5-be78-8ce8e345a10c · inbound

SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models cites this paper.

SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T19:47:08.888490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:47:08.888490Z digest=sha256:c03b16cd637095ad39119e17f27f7d60f56b423c1475d31b633dd04ad992af53

Observation 869a3651-abe3-40c9-b3d8-12900194fd3d · inbound

Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference cites this paper.

Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T21:13:59.533390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:13:59.533390Z digest=sha256:1e5dc1a547fd53d4d9042610ac2102271f0d5aeb9d9db1e76c7c97424611a3d2

Observation d4581006-be2e-41cb-8612-fe0b6ba1457b · inbound

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models cites this paper.

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:40:14.575907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:39:58.095112Z digest=sha256:7c4c45e9b26671c9a6f2d5423d28e0bd63ea2b5b68ad7827e9b9b21f1cc15041

Observation 7974dabb-54cd-4ca5-9a3e-5fa2c749e597 · inbound

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism cites this paper.

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:50:03.847527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T11:46:12.134869Z digest=sha256:fc56371844991d3a3d4f6b0c463b04748579803826c387f7c3701c3ca886436d

Observation d074b452-315f-42c6-83e7-1bdba940d3da · inbound

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness cites this paper.

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:19:54.446756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T09:15:50.963123Z digest=sha256:6e0604abf562c09842d16e4cd86a39e1fe0547980ebc6bd2ae8643123f5877f1

Observation 9ff1368b-11f1-4653-bf32-9d23c8c9a88e · inbound

FASTER: Rethinking Real-Time Flow VLAs cites this paper.

FASTER: Rethinking Real-Time Flow VLAs Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:05:15.424602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T08:02:13.188363Z digest=sha256:288b444bbae60186020f9cca7cc72dbd6a10eb9757b09df0a9f844d3fb9157a0

Observation 533f382b-f4e4-4fb3-aeaf-dcbf57ac7a45 · inbound

FASTER: Rethinking Real-Time Flow VLAs cites this paper.

FASTER: Rethinking Real-Time Flow VLAs Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:50:01.033890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T10:48:56.280105Z digest=sha256:cb1d4fc8dea30fc12530609f7e7187988c3c7db3d69b8c5e90071937f2fe919c

Observation 050ccd76-ea3f-4f56-800e-675b0d066610 · inbound

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models cites this paper.

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:23:13.005948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:16:27.229603Z digest=sha256:43b2512fd2d0aa140bd1cb4d9ed91bde5083c95adba5f100f5ee62572466494b