Paper Citation Record · LEDGER

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2507.07996.

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

pith.paper-citation-record.v1
2507.07996 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:20.582143Z

measured 28 of 28 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:56:34.435152Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:57.338642Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy8
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7a26cbd-3509-4c66-8327-d869ad55327d · outbound

This paper cites Neural module networks.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Neural module networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:18.674198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1869c13a-d85f-422e-a9af-5f817c52bed5 · outbound

This paper cites Early exit optimizations for additive machine learned ranking systems.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Early exit optimizations for additive machine learned ranking systems

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:22.592653Z

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 32bceb12-cd5d-4a01-b1ae-e9b06aed766f · outbound

This paper cites Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:18.824715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b921a512-63f0-4d9e-9224-722786fa34d0 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:18.869586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cea9865-718d-460f-8427-48947d1a9eea · outbound

This paper cites Universal Transformers.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Universal Transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:18.945114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabbfb14-2008-4e3f-b531-226e1d10bdcb · outbound

This paper cites Faith and fate: Limits of transformers on compositionality.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Faith and fate: Limits of transformers on compositionality

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:22.383678Z

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 b2fcee33-9d97-4b71-8394-cfd48c516dbd · outbound

This paper cites DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:33:20.896116Z

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 54e80b2d-9a4e-45cd-b894-d3ffe7f781a1 · outbound

This paper cites Reducing Transformer Depth on Demand with Structured Dropout.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Reducing Transformer Depth on Demand with Structured Dropout

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.194766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94078844-e10c-4e60-8423-adbe8c9346e9 · outbound

This paper cites Looped Transformers for Length Generalization.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Looped Transformers for Length Generalization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.337300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55f4d91-cdd6-4021-a825-612084ff9d7a · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.442435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5655a8-9313-466c-ba0c-fac2b049e18e · outbound

This paper cites Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.515978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee57b3e-aadb-4b6c-a09b-6995499c7d59 · outbound

This paper cites Mixture of Nested Experts: Adaptive Processing of Visual Tokens.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Mixture of Nested Experts: Adaptive Processing of Visual Tokens

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.618801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67d989e-02ae-44e7-9317-17564ded0ee2 · outbound

This paper cites FastBERT: a Self-distilling BERT with Adaptive Inference Time.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs FastBERT: a Self-distilling BERT with Adaptive Inference Time

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.702829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95647168-7130-41b8-b7ef-53db4423b525 · outbound

This paper cites Faster depth-adaptive transformers.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Faster depth-adaptive transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:22.166579Z

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 d16d4018-06bf-469c-b2a4-dcab4e02214c · outbound

This paper cites Ebert: Efficient bert inference with dynamic structured pruning.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Ebert: Efficient bert inference with dynamic structured pruning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:21.923462Z

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 5be22ff9-fbb4-4592-98d1-6d273aaad627 · outbound

This paper cites Anytime Dense Prediction with Confidence Adaptivity.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Anytime Dense Prediction with Confidence Adaptivity

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:19.899681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6467bace-6a83-454b-bf80-d41bd7e7b32b · outbound

This paper cites On limitations of the transformer architecture.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs On limitations of the transformer architecture

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:21.734761Z

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 8181068c-b182-440f-8f3c-3b76f1043e29 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.036112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7960cd81-b139-40c1-b0e7-5b43dcd2710a · outbound

This paper cites You need multiple exiting: Dynamic early exiting for accelerating unified vision language model.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs You need multiple exiting: Dynamic early exiting for accelerating unified vision language model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:21.502530Z

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 35ad1247-b75e-4230-8ff2-a47cf72342b0 · outbound

This paper cites Branchynet: Fast inference via early exiting from deep neural networks.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Branchynet: Fast inference via early exiting from deep neural networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.189870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efbc4f3-9921-4d8b-b746-56bd1faa0354 · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.272894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d772d0ca-3939-40d3-a7f7-1b8394918ccd · outbound

This paper cites Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.319719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad0b72b-8ed4-48f1-8c13-e706fae5e322 · outbound

This paper cites DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.378873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64381ee-1188-4625-8aa4-517ffdd3ffa8 · outbound

This paper cites Lgvit: Dynamic early exiting for accelerating vision transformer.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Lgvit: Dynamic early exiting for accelerating vision transformer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:21.277639Z

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 d55f31ec-99ae-4bfe-8207-672fe36795e3 · outbound

This paper cites Looped Transformers are Better at Learning Learning Algorithms.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Looped Transformers are Better at Learning Learning Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.499325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c89171-2c8a-4720-9f14-c6ae96ba4fbd · outbound

This paper cites Bert loses patience: Fast and robust inference with early exit.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Bert loses patience: Fast and robust inference with early exit

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:33:21.105730Z

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

Observation 8468b482-8a3c-4a7c-8aed-3c8825e93da9 · inbound

Dr.LLM: Dynamic Layer Routing in LLMs cites this paper.

Dr.LLM: Dynamic Layer Routing in LLMs Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:04:20.298986Z

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 da8f35f1-6a78-44dc-8505-e22bebcc4ddd · inbound

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs cites this paper.

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:36:57.341253Z

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.