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Paper Citation Record · LEDGER

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2501.16937.

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

pith.paper-citation-record.v1
2501.16937 v4

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:35:54.174094Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:52:30.187137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.020344Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77dd83ae-1cb4-40ae-9a46-47360309da6e · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.046289Z digest=sha256:633af2b0971ede0c6328b43cd3fc82f1df331467f77bd7c9db4eae0424aee48f

Observation bd62dfc6-15f8-4ce2-9946-76c274a4d383 · outbound

This paper cites Model compression.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Model compression

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T05:35:54.667986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.058985Z digest=sha256:a7304da17b0b3c84f3900fd9a2ba0125a357c6c43af26652cd2ade8822971808

Observation 43f61cdd-6224-4823-a763-c53a23f4d57c · outbound

This paper cites A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Reference 5

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source=pdf_text observed=2026-08-10T05:35:54.062748Z digest=sha256:0612238a17f19c87f3272f517e9cf3f4a2ded9304d575f0148da212fb352924e

Observation eb38db4f-4591-42b4-884c-3f39de042dad · outbound

This paper cites Scaling Laws for Neural Language Models.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Scaling Laws for Neural Language Models

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.070611Z digest=sha256:c1ea39eaf963ddb0068785a422fefa0c126db854357b79817d1243a4c6d63a21

Observation 9713d0d5-afe5-4c37-b06e-c7a1771e438d · outbound

This paper cites Learning multiple layers of features from tiny images.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Learning multiple layers of features from tiny images

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-10T05:35:54.657616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.074624Z digest=sha256:910d4fe1880764ea4a9fd5d96112f33ba5b711bc4aa353fcf6845df00b009066

Observation 3179876e-9302-4675-9d44-0378985d1da7 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Textbooks Are All You Need II: phi-1.5 technical report

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T05:35:54.078249Z digest=sha256:91a6e036cb1cdcfe0e0059ee379064ebca1dd4a1ae07365173220a7318925e67

Observation dcdd0166-75bb-421d-b8fb-c143d035449f · outbound

This paper cites GPT-4 Technical Report.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models GPT-4 Technical Report

Reference 11

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source=pdf_text observed=2026-08-10T05:35:54.086080Z digest=sha256:6b5ea5a67a856f7976a26ebf0fb9389ddb68c65691fbd605ddb040ba2974d721

Observation b38886da-c8a2-4a57-982a-1179fc0bdea7 · outbound

This paper cites github.io/blog/qwen2.5/.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models github.io/blog/qwen2.5/

Reference 13

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raw_fallback, observed 2026-08-10T05:35:54.647108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.093435Z digest=sha256:0fece04de8bd656f7e5142c1466736d77051a92755c335e00ada9dde8f13b6b9

Observation 554e9f8e-23a0-4126-b072-a4c58c7f2538 · outbound

This paper cites MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Reference 15

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source=pdf_text observed=2026-08-10T05:35:54.100503Z digest=sha256:0de80f6ef5520da4938a0c88edef821189313de5c49a700d6f91398c473056cd

Observation 03b96d71-7cd8-49df-aa89-f9d1aca40c6c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 16

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source=pdf_text observed=2026-08-10T05:35:54.104079Z digest=sha256:08970cb0d9159c0ac9b84f0d24e1a60fbbd9d5f00fa2909b54e769e3e4b844b3

Observation 6ae001d9-89f7-42cf-959a-c864939fc4cc · outbound

This paper cites Efficient Large Language Models: A Survey.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Efficient Large Language Models: A Survey

Reference 17

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source=pdf_text observed=2026-08-10T05:35:54.107705Z digest=sha256:ac7c6f857a8b8c764b5a7e6d0699f97a02f7cfa61ee4b5e1b2279b691befc874

Observation d9de9a0a-3e57-46ab-9d63-7e2ea1b81895 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models BloombergGPT: A Large Language Model for Finance

Reference 18

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source=pdf_text observed=2026-08-10T05:35:54.111452Z digest=sha256:c656d65c409c806c55d3094ef7fbf6899b7f0978efc12698eff57d14105b3fcb

Observation 2c940cc9-6d45-4362-9adf-55785a3c25be · outbound

This paper cites Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

Reference 19

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source=pdf_text observed=2026-08-10T05:35:54.115275Z digest=sha256:50285eb3f41056424344a398e2923f546b29f03db342c4e01888066f40dd2135

Observation e87709ec-66be-47e2-a717-b1b91d721758 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models A Survey on Knowledge Distillation of Large Language Models

Reference 20

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source=pdf_text observed=2026-08-10T05:35:54.118912Z digest=sha256:7e8e8fcf73d0083d9af5af4d446def1cf7505bd37080e5b94b3295acc82c8ad4

Observation 0552e1fd-5739-46dd-b0a7-086c38c8782f · outbound

This paper cites Qwen2 Technical Report.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Qwen2 Technical Report

Reference 21

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no resolver link, observed 2026-08-10T05:35:54.122907Z

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source=pdf_text observed=2026-08-10T05:35:54.122907Z digest=sha256:0163dc10de3659baa7de7f1097234be18b081f8d0a6ab64a3d0d316a00eed28b

Observation 7abc8490-a37f-48ea-8e9a-50f82133dae3 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 22

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source=pdf_text observed=2026-08-10T05:35:54.126695Z digest=sha256:9ca8c534840bd6b9cb62c92d04ee0386df98f0d98087298a1776925707823b9c

Observation 4b6d2d02-a0bc-471e-8004-76bc315fcfa0 · outbound

This paper cites One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era

Reference 23

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source=pdf_text observed=2026-08-10T05:35:54.130476Z digest=sha256:c2a9797f4eda66844b267ef3fa9cf9aff878729d00906e800110437b6cce41e4

Observation d60dae55-6a2b-4712-8608-e42d2c15bfb9 · outbound

This paper cites an unresolved cited work.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.134366Z digest=sha256:9f66063b1aafe10e46cb64b9794e9a0adf76aa97becccd186d42f47ad1525ef8

Observation 6acefaa7-d6a9-4c20-83e6-4056a95ecbd2 · outbound

This paper cites Thus, it is crucial to investigate when and whether the non-collapse condition ∥y∥2 > N ϵis satisfied to ensure that our hypothesis learns meaningful signals.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Thus, it is crucial to investigate when and whether the non-collapse condition ∥y∥2 > N ϵis satisfied to ensure that our hypothesis learns meaningful signals

Reference 25

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raw_fallback, observed 2026-08-10T05:35:54.625343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.138729Z digest=sha256:491ad7f749dc791244723e34f4c297b2d6402ca6ea745982cab12e3d185cc6f3

Observation a2e1d492-a209-4c77-a08b-7df58214a83d · outbound

This paper cites an unresolved cited work.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.142307Z digest=sha256:8c042e61a8fc27b3e9b964973026af521dd0531719cd8f16a865894cbcec398f

Observation 33fe7a1f-a092-4394-8e00-9c04dd37ca67 · outbound

This paper cites tY τ =0 1 − t − τ T # ·.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models tY τ =0 1 − t − τ T # ·

Reference 27

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raw_fallback, observed 2026-08-10T05:35:54.603514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.146007Z digest=sha256:743db2fb2ba613112ca5323f32e207d3fab8ea46f579c0febb5e6644eb893b76

Observation d2a1113c-8b8b-4515-b000-79bc8b0eb2b6 · outbound

This paper cites 20 Published as a conference paper at ICLR 2025 Table 6: Performance comparison between TAID and Skew KL across different teacher sizes.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models 20 Published as a conference paper at ICLR 2025 Table 6: Performance comparison between TAID and Skew KL across different teacher sizes

Reference 28

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.149711Z digest=sha256:a4520b1cccadf8a01b15bae4203a24174174ce3564ad8723e91e71a0ab9d94d9

Observation 8f20a6da-1eda-4cc9-8c32-013c96c4e98f · outbound

This paper cites By solving this quadratic inequality, we can verify the statement.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models By solving this quadratic inequality, we can verify the statement

Reference 29

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raw_fallback, observed 2026-08-10T05:35:54.484307Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.153008Z digest=sha256:9c7883298a362a786aa23648e925c71ffe66eaf9df7604abb7e580ba19813ecf

Observation 68592a3b-ac4e-40fe-9251-b27614f11dc2 · outbound

This paper cites The final value of t (tend) was set to 1.0 for all experiments.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models The final value of t (tend) was set to 1.0 for all experiments

Reference 31

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raw_fallback, observed 2026-08-10T05:35:54.459234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.159900Z digest=sha256:11a69965de492a372e9559d0aae0184ef9679c4de30c3df55cb0bd57fbad2710

Observation 3a6ceb88-b7c2-4429-8b7d-4cc5be00d6c7 · outbound

This paper cites However, the gains are modest compared to state-of-the-art methods specifically designed for image classification, such as MLKD.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models However, the gains are modest compared to state-of-the-art methods specifically designed for image classification, such as MLKD

Reference 33

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raw_fallback, observed 2026-08-10T05:35:54.435367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.166852Z digest=sha256:60eea22b0aafd0725c3a30d16dcdfb341ef9e3769a6ed027cca23d1498a2b93b

Observation f43e7a37-1caa-4f52-beb4-eb5e6bb55b33 · outbound

This paper cites an unresolved cited work.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.170283Z digest=sha256:a7b739621fe686b2957372b2758e7324896ff633436dd522dffa54e03f73f326

Observation 1565bf43-f798-49cf-bd92-2761e857fbc3 · outbound

This paper cites This demonstrates the effectiveness of our distillation approach in creating a compact model that maintains high performance across a diverse range of language tasks.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models This demonstrates the effectiveness of our distillation approach in creating a compact model that maintains high performance across a diverse range of language tasks

Reference 35

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raw_fallback, observed 2026-08-10T05:35:54.412612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.174094Z digest=sha256:941ab22acc3f5f515200905317fe4a8f5d32ba06404a6eba609b9631e781bfe8

Observation 2b076029-d416-4e0b-9ab9-50010375728f · outbound

This paper cites To select the best checkpoint for evaluation, we calculated the ROUGE-L score on the validation set after each epoch and chose the checkpoint with the highest score.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models To select the best checkpoint for evaluation, we calculated the ROUGE-L score on the validation set after each epoch and chose the checkpoint with the highest score

Reference 64

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raw_fallback, observed 2026-08-10T05:35:54.471825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.156525Z digest=sha256:b91902da60a74bcfbc4d3deb099785f1adb6844391c1443aebdd0a1f7d0a76bc

Observation b5f6077b-441f-44f3-8c66-9a6e75e575fa · outbound

This paper cites The TAID-specific parameters for the pre-training experiments were kept consistent with those used in the Phi-3- mini-4k-instruct pair in the instruction tuning experiments.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models The TAID-specific parameters for the pre-training experiments were kept consistent with those used in the Phi-3- mini-4k-instruct pair in the instruction tuning experiments

Reference 640

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verified fuzzy
raw_fallback, observed 2026-08-10T05:35:54.446872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T05:35:54.163342Z digest=sha256:7c356113fc0d65248b53500c58751c410e82a52b7fc0a623f6feea603a5b61e7

Observation 74c06122-bf3a-4f29-aeb9-a4945c039624 · outbound

This paper cites Mobile Edge Intelligence for Large Language Models: A Contemporary Survey.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 1991

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unresolved
no resolver link, observed 2026-08-10T05:35:54.089634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.089634Z digest=sha256:63c00407e4b9e61c8f2c13b7c72039e7b736ebbc3b1ddfd584a8bee9647d1663

Observation 08d1517b-8726-45aa-bd62-dc397eb12060 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 2010

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source=pdf_text observed=2026-08-10T05:35:54.096779Z digest=sha256:339e4cf8b733749069b2ff8058407ea47632db23d95e085f0ca17e43ea787ec1

Observation 86a62372-8650-43c0-9cd6-1b93a3e5e4e9 · outbound

This paper cites Compact Language Models via Pruning and Knowledge Distillation.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Compact Language Models via Pruning and Knowledge Distillation

Reference 2020

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no resolver link, observed 2026-08-10T05:35:54.082322Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.082322Z digest=sha256:d0e33103fd5908c674325fef819ea0d7e30248d0f011b73fe66aa9232a0f7e06

Observation 06d5b9d5-aec3-4cb1-9fc9-ddeab0288856 · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 2022

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no resolver link, observed 2026-08-10T05:35:54.066809Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.066809Z digest=sha256:716201bab312e13db8abe8216ce2a7a31df86a0021fe9a667dfab3705e82f1a5

Observation 96268f02-0d74-4659-8c50-842a38acbad4 · outbound

This paper cites Stable LM 2 1.6B Technical Report.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Stable LM 2 1.6B Technical Report

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.050974Z digest=sha256:9415fbd440dfc37ce073df8e7a43beeff78cab8ad1328a4deff28be7bca99a5e

Observation 7a06972f-c593-4434-b353-f27d15e2a050 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models PaliGemma: A versatile 3B VLM for transfer

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T05:35:54.055053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.055053Z digest=sha256:9d14e59864ccbce96d95b22daf92e3047ea447abcb01c81e75d846e005fa00e9

Pith citing papers

Observation 9104b84b-58b6-4bb9-bc56-394ace32925a · inbound

Beyond Dark Knowledge: Mixup-Based Distillation for Reliable Predictions cites this paper.

Beyond Dark Knowledge: Mixup-Based Distillation for Reliable Predictions TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:48:02.021846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T09:52:30.187137Z digest=sha256:c820f89852bb8d5ff4ae0214bf91310b0e7eb6fade7bf0de0d59bdcb2daa2bdd