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Paper Citation Record · LEDGER

Extrapolation by Association: Length Generalization Transfer in Transformers

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 4 inbound Pith citation observations for arXiv:2506.09251.

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

pith.paper-citation-record.v1
2506.09251 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:24.796012Z

measured 54 of 54 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:31:45.986659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:21.663944Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact3
  • verified fuzzy6
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33880408-792c-4816-8f9c-0f58a1f37073 · outbound

This paper cites Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?.

Extrapolation by Association: Length Generalization Transfer in Transformers Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?

Reference 1

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:59:20.162242Z digest=sha256:27bf0b88de88f70f4a4cc182c78de91d6f12a91f89f47979496fae07a789257c

Observation 37f88e86-24ab-43d2-b78f-0a377425a6c1 · outbound

This paper cites On Provable Length and Compositional Generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers On Provable Length and Compositional Generalization

Reference 2

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source=arxiv_source observed=2026-08-07T04:59:20.234971Z digest=sha256:b3783bd2e5bdcfa011e93f4fd62d5935e28dbb2594be1c89ede851c37147956e

Observation 76ad8a4a-f215-403e-9aa7-52eaf28a75bb · outbound

This paper cites Llama 3 model card.

Extrapolation by Association: Length Generalization Transfer in Transformers Llama 3 model card

Reference 3

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source=arxiv_source observed=2026-08-07T04:59:20.308611Z digest=sha256:31af9ce689fcb1687e3ded56537f88f32f4741b46d74f994f692c3bce96f4abe

Observation 7f765904-2d86-4ee7-a0e0-0b94ac480286 · outbound

This paper cites Smollm - blazingly fast and remarkably powerful, 2024.

Extrapolation by Association: Length Generalization Transfer in Transformers Smollm - blazingly fast and remarkably powerful, 2024

Reference 4

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source=arxiv_source observed=2026-08-07T04:59:20.373781Z digest=sha256:8d017d0f81e21a2fcb95123c32b71daa42230cca8b36b35e9f9228f8a25c7be1

Observation 7bfd8e7f-34d0-40cf-b64a-b39116e64054 · outbound

This paper cites Exploring length generalization in large language models.

Extrapolation by Association: Length Generalization Transfer in Transformers Exploring length generalization in large language models

Reference 5

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raw_fallback, observed 2026-08-07T04:59:27.317484Z

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.

source=arxiv_source observed=2026-08-07T04:59:20.440034Z digest=sha256:723d46867c0dcfe37ac6c5bd9b4d233a416652333eed5c73225e89716df6a24a

Observation 47a34764-6462-4a1d-88a4-bdfcc550539b · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 6

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source=arxiv_source observed=2026-08-07T04:59:20.526214Z digest=sha256:bf521daa09f3e72e13a0906daf29e59bfd4c5f739dc1c7af48d1b127ed85f314

Observation 8bb30264-8fc4-4369-ab57-fb6def66075d · outbound

This paper cites Improving Length-Generalization in Transformers via Task Hinting.

Extrapolation by Association: Length Generalization Transfer in Transformers Improving Length-Generalization in Transformers via Task Hinting

Reference 7

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source=arxiv_source observed=2026-08-07T04:59:20.605543Z digest=sha256:a5f5e9fa5abb6cb79018f73dc35a5d36d4704731b2f947e03dd2e8b91a159cbc

Observation b785543a-3f2d-4b0b-9d52-3814a2b71986 · outbound

This paper cites Round and Round We Go! What makes Rotary Positional Encodings useful?.

Extrapolation by Association: Length Generalization Transfer in Transformers Round and Round We Go! What makes Rotary Positional Encodings useful?

Reference 8

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source=arxiv_source observed=2026-08-07T04:59:20.725757Z digest=sha256:1397db0d3c43227f394a0ecec2fd4bc59a28faef11b2aa4c854c1315c3d69336

Observation 82b13d89-1707-4373-9f77-1f4068a3200e · outbound

This paper cites Language Models are Few-Shot Learners.

Extrapolation by Association: Length Generalization Transfer in Transformers Language Models are Few-Shot Learners

Reference 9

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source=arxiv_source observed=2026-08-07T04:59:20.841712Z digest=sha256:e1a6e9fa27d9ccc428828b22e949c548aedc0238c07ebbf64db983a235daa1a0

Observation 7ca67220-9220-4ba3-9a23-a8377b262c95 · outbound

This paper cites Curve circuits.

Extrapolation by Association: Length Generalization Transfer in Transformers Curve circuits

Reference 10

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source=arxiv_source observed=2026-08-07T04:59:20.947101Z digest=sha256:016802dfd3f8da9cd608f14fa1d7f75a77b7a610d8dc30df2fd8db9e6cca4f46

Observation 465d7395-ede9-48cd-ba1a-71919f036cde · outbound

This paper cites Position coupling: Improving length generalization of arithmetic transformers using task structure.

Extrapolation by Association: Length Generalization Transfer in Transformers Position coupling: Improving length generalization of arithmetic transformers using task structure

Reference 11

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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.

source=arxiv_source observed=2026-08-07T04:59:21.090602Z digest=sha256:1e36f8053a924f09ea9b4c3af17a2f12302cdcb196d2d6ae00cd8b4c40681532

Observation 9e830576-616b-49fb-9094-4eeb6c2afa7f · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Extrapolation by Association: Length Generalization Transfer in Transformers LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 12

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source=arxiv_source observed=2026-08-07T04:59:21.226822Z digest=sha256:a0f9d81f5e5563b6be23f30bf6cb9966b6af6138f02803d8a3d57e1caad7597c

Observation 3b8ccece-5595-4f9a-aa71-5b9018ad33a7 · outbound

This paper cites From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers

Reference 13

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local_arxiv, observed 2026-08-07T04:59:25.699231Z

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.

source=arxiv_source observed=2026-08-07T04:59:21.351391Z digest=sha256:90183261a43ed165ea928a0337163e0f33fdab1cfe67242f9989e4e3cc2bee99

Observation 77160230-375d-4ef1-94e4-34081a613dcb · outbound

This paper cites Location Attention for Extrapolation to Longer Sequences.

Extrapolation by Association: Length Generalization Transfer in Transformers Location Attention for Extrapolation to Longer Sequences

Reference 14

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local_arxiv, observed 2026-08-07T04:59:25.418045Z

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.

source=arxiv_source observed=2026-08-07T04:59:21.454529Z digest=sha256:0dfe190e18edd4d67974a561e9ce83cd3dbe87f68857bb18476d44c97da3e6da

Observation de2c2496-8001-4cab-a1ad-e9330e8993f2 · outbound

This paper cites Looped Transformers for Length Generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers Looped Transformers for Length Generalization

Reference 15

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source=arxiv_source observed=2026-08-07T04:59:21.582522Z digest=sha256:765a3e768ee1bac4c8921eaf19811595229e3fdb7ab36e175f734a058c923696

Observation c7b13c42-d2cb-4235-a72f-e888ac8e96c1 · outbound

This paper cites Not All LLM Reasoners Are Created Equal.

Extrapolation by Association: Length Generalization Transfer in Transformers Not All LLM Reasoners Are Created Equal

Reference 16

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source=arxiv_source observed=2026-08-07T04:59:21.688065Z digest=sha256:115c3c81d4f05c1b2a941b00f32fc1a80d2432d2038fc61c8a983ce2f84cc36e

Observation fc852dff-426e-4d09-a978-a6c5c21eddb2 · outbound

This paper cites Compositionality decomposed: How do neural networks generalise? Journal of Artificial Intelligence Research, 67: 0 757--795, 2020.

Extrapolation by Association: Length Generalization Transfer in Transformers Compositionality decomposed: How do neural networks generalise? Journal of Artificial Intelligence Research, 67: 0 757--795, 2020

Reference 17

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raw_fallback, observed 2026-08-07T04:59:26.939238Z

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.

source=arxiv_source observed=2026-08-07T04:59:21.814807Z digest=sha256:5d2499ff4d343532c433258134ac3df1dd893531a370f416a7a39f6e1e838585

Observation 37578f20-fd25-41b8-b168-17889a1cf32d · outbound

This paper cites The impact of positional encoding on length generalization in transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers The impact of positional encoding on length generalization in transformers

Reference 18

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source=arxiv_source observed=2026-08-07T04:59:21.964867Z digest=sha256:9ef91f754923ef425e4c3a95bc7af92ef0348d25bfc02c997d7ea261095ee753

Observation a0b6e6fa-3f8f-4697-9da3-2b0f4fe85944 · outbound

This paper cites Teaching Arithmetic to Small Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Teaching Arithmetic to Small Transformers

Reference 19

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source=arxiv_source observed=2026-08-07T04:59:22.085667Z digest=sha256:be94a1829831e4137e945bad41a49823799fd1ace084f857baa053c86e14ddc7

Observation 9b37e4b3-07c9-4abc-aac8-65761039cf7c · outbound

This paper cites Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges.

Extrapolation by Association: Length Generalization Transfer in Transformers Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges

Reference 20

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source=arxiv_source observed=2026-08-07T04:59:22.214156Z digest=sha256:afbe4bd2f543d2533ff03150d5592997406c2280f4d038100a23ddcff098934a

Observation ea75c76d-bdba-493b-842f-d864e0d628d9 · outbound

This paper cites On the power of convolution-augmented transformer.

Extrapolation by Association: Length Generalization Transfer in Transformers On the power of convolution-augmented transformer

Reference 21

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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.

source=arxiv_source observed=2026-08-07T04:59:22.338046Z digest=sha256:b96c89d46b4bed5850ba773599a834e76c923ca1d412d0d42462fa1e8f113a84

Observation bbc82434-d7c4-414f-b00d-fa18c849919f · outbound

This paper cites Functional Interpolation for Relative Positions Improves Long Context Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Functional Interpolation for Relative Positions Improves Long Context Transformers

Reference 22

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source=arxiv_source observed=2026-08-07T04:59:22.439576Z digest=sha256:17776a22944bb43e229b679f43d3c25e08a934d641d58abd1dbb72afb64c4e18

Observation ec53643b-0ec3-463e-8512-a7b65201e533 · outbound

This paper cites Transformers Can Do Arithmetic with the Right Embeddings.

Extrapolation by Association: Length Generalization Transfer in Transformers Transformers Can Do Arithmetic with the Right Embeddings

Reference 23

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source=arxiv_source observed=2026-08-07T04:59:22.551425Z digest=sha256:529202220dd0631cc401181e74e5b011f6e166442df152b9fc2704a89214410f

Observation 7fa88278-8f65-4253-9aca-a6bcd8680afd · outbound

This paper cites The EOS Decision and Length Extrapolation.

Extrapolation by Association: Length Generalization Transfer in Transformers The EOS Decision and Length Extrapolation

Reference 24

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source=arxiv_source observed=2026-08-07T04:59:22.652718Z digest=sha256:2638ea31b1e86eef1f5d5d29f7ccad23ba9e6320f5201ef8f2ca17601b1db7f2

Observation fa7483f7-0633-45e2-b450-6e51f0abe355 · outbound

This paper cites In-context Learning and Induction Heads.

Extrapolation by Association: Length Generalization Transfer in Transformers In-context Learning and Induction Heads

Reference 25

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source=arxiv_source observed=2026-08-07T04:59:22.798473Z digest=sha256:d91fb4ca92d30b1a5eef5955c515fa1403d1467bcd802582e106377626ae8bf0

Observation 9ff12991-e5ea-4e52-b7de-3a961811a456 · outbound

This paper cites GPT-4 Technical Report.

Extrapolation by Association: Length Generalization Transfer in Transformers GPT-4 Technical Report

Reference 26

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source=arxiv_source observed=2026-08-07T04:59:22.903100Z digest=sha256:604c9a3fcbc9aa3404fff2c64fd829f2dd69453637ef304c80056965607a2c99

Observation b8944dab-d489-47cc-947f-2cd86631af48 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers YaRN: Efficient Context Window Extension of Large Language Models

Reference 27

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source=arxiv_source observed=2026-08-07T04:59:23.012533Z digest=sha256:a9dbcab7bb17438ee42692dbde9ab346ed6633a5e04a559b91ad86760ff4bfdc

Observation 416a25d7-da85-47df-b2a8-9a0c155093ee · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Extrapolation by Association: Length Generalization Transfer in Transformers Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 28

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source=arxiv_source observed=2026-08-07T04:59:23.097510Z digest=sha256:3fe70a82e4b973a007336bbdaf09fadfc1e74ed5cbbe35555b203b41a384f058

Observation 0a6dd0fc-2ec8-49df-b36d-685a7f6506f8 · outbound

This paper cites Understanding Addition in Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Understanding Addition in Transformers

Reference 29

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source=arxiv_source observed=2026-08-07T04:59:23.183727Z digest=sha256:98c02af468b1ac4fb7bb50cbdd5fac42f2d8fc0110c9dd9c31053162a47f31a0

Observation 49e6a529-0013-4ec1-a89d-15310ee7de78 · outbound

This paper cites Understanding Addition and Subtraction in Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Understanding Addition and Subtraction in Transformers

Reference 30

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:59:23.268938Z digest=sha256:f40270a633aeb9f4c2a27382253cba3fa8e08a8d033a8b3b3f27f603b95bbdf5

Observation b78d701f-0376-4daa-9a6e-8a75baf8af62 · outbound

This paper cites Compositional capabilities of autoregressive transformers: A study on synthetic, interpretable tasks.

Extrapolation by Association: Length Generalization Transfer in Transformers Compositional capabilities of autoregressive transformers: A study on synthetic, interpretable tasks

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T04:59:26.507125Z

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.

source=arxiv_source observed=2026-08-07T04:59:23.370958Z digest=sha256:2f4bdf5aa0c15d5d27a230f2fd3de446fc728cda706f32514dbf10bc8018657f

Observation 95a3bfde-2e81-43cf-a132-86c6989a957d · outbound

This paper cites Randomized Positional Encodings Boost Length Generalization of Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Randomized Positional Encodings Boost Length Generalization of Transformers

Reference 32

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source=arxiv_source observed=2026-08-07T04:59:23.490891Z digest=sha256:1d54fbad2d6fe38c7e2bea45e3ac719481204b780d4047b688fc020e89463d25

Observation 0d1d0ade-6547-41b4-9726-06fefd1abf76 · outbound

This paper cites Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks.

Extrapolation by Association: Length Generalization Transfer in Transformers Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks

Reference 33

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source=arxiv_source observed=2026-08-07T04:59:23.494086Z digest=sha256:d73e2c4cefc56ba6ebddaee76e8be7aa365e0d49dab08e96a897d441f7188726

Observation f379a385-fef3-436b-a249-b43435063d3f · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers Multitask prompted training enables zero-shot task generalization

Reference 34

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source=arxiv_source observed=2026-08-07T04:59:23.497635Z digest=sha256:6c83bf1bee411fca71f3be69704b45a75846208ce6fa380f4a3adb3e740a3905

Observation 7a215239-c687-43aa-aaaa-b184527bfd3f · outbound

This paper cites Positional Description Matters for Transformers Arithmetic.

Extrapolation by Association: Length Generalization Transfer in Transformers Positional Description Matters for Transformers Arithmetic

Reference 35

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source=arxiv_source observed=2026-08-07T04:59:23.504423Z digest=sha256:7d0302a36ea27e4cdf93f782f6702d36ac9cf3e3ea1c28c39414333b2b4cb562

Observation 82ea1acf-e236-4a76-a936-31c7952b4cda · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Extrapolation by Association: Length Generalization Transfer in Transformers RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:59:23.570697Z digest=sha256:57e6f6508d881dedf0f822a8c8d2fbcaefbe610e62ac78b4b39aa332d8bb73e3

Observation f79164a6-a64d-4590-95be-a8493a301f24 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Extrapolation by Association: Length Generalization Transfer in Transformers Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 37

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source=arxiv_source observed=2026-08-07T04:59:23.693310Z digest=sha256:500afb268d53f3a62f84c8b53e4b3489b566f398135ffa7512a594cfdc303918

Observation e86f633f-8665-4e17-946b-9ef729a0dc7b · outbound

This paper cites Emergent Abilities of Large Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers Emergent Abilities of Large Language Models

Reference 38

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Observation d4d1d9ed-c6fb-4f9f-bf7c-bc19e82dd2cd · outbound

This paper cites Generating random spanning trees more quickly than the cover time.

Extrapolation by Association: Length Generalization Transfer in Transformers Generating random spanning trees more quickly than the cover time

Reference 39

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Observation 12ae6f7c-46ad-47ad-ba03-f62dfd1dbf5a · outbound

This paper cites Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability.

Extrapolation by Association: Length Generalization Transfer in Transformers Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

Reference 40

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Observation cf976f1f-9c79-4d43-a47c-1f432f944a26 · outbound

This paper cites Exploring compositional generalization of large language models.

Extrapolation by Association: Length Generalization Transfer in Transformers Exploring compositional generalization of large language models

Reference 41

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Observation b53566eb-d69f-4318-bb93-bc6ecbbd7aa4 · outbound

This paper cites From local structures to size generalization in graph neural networks.

Extrapolation by Association: Length Generalization Transfer in Transformers From local structures to size generalization in graph neural networks

Reference 42

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Observation aef55765-ae28-4010-90d0-c3d1e47d1f2b · outbound

This paper cites Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models.

Extrapolation by Association: Length Generalization Transfer in Transformers Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models

Reference 43

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Observation 29f2d413-7634-4ce7-b67a-fc133faa463e · outbound

This paper cites On the Out-Of-Distribution Generalization of Multimodal Large Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers On the Out-Of-Distribution Generalization of Multimodal Large Language Models

Reference 44

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Observation 43353b2d-a060-49c6-b053-a5b93d897d63 · outbound

This paper cites Can Models Learn Skill Composition from Examples?.

Extrapolation by Association: Length Generalization Transfer in Transformers Can Models Learn Skill Composition from Examples?

Reference 45

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Observation 1b4e5d1f-9277-4d54-a717-643538901f11 · outbound

This paper cites What Algorithms can Transformers Learn? A Study in Length Generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers What Algorithms can Transformers Learn? A Study in Length Generalization

Reference 46

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Observation fe812d76-337a-468b-bb5d-f301e3e82b77 · outbound

This paper cites Transformers Can Achieve Length Generalization But Not Robustly.

Extrapolation by Association: Length Generalization Transfer in Transformers Transformers Can Achieve Length Generalization But Not Robustly

Reference 47

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Observation 5fe4a088-6910-42c2-9ab2-8c968b0b28fd · outbound

This paper cites @esa (Ref.

Extrapolation by Association: Length Generalization Transfer in Transformers @esa (Ref

Reference 48

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Observation cf950190-ac2b-4194-9e00-327e15c5523e · outbound

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Extrapolation by Association: Length Generalization Transfer in Transformers Unresolved cited work

Reference 49

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This paper cites Gw4YHj hk 9(kIwxS4g6ŘT kI,pk QXf4!׵G 1F <Fi<5 Si,pk -)#cA M;5zt`vj.

Extrapolation by Association: Length Generalization Transfer in Transformers Gw4YHj hk 9(kIwxS4g6ŘT kI,pk QXf4!׵G 1F <Fi<5 Si,pk -)#cA M;5zt`vj

Reference 50

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Pith citing papers

Observation 9188c2a1-aea5-40cf-955f-a0c64e354a7f · inbound

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii cites this paper.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 3

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Observation a1082e5a-8ddb-47a3-b8c7-d139f47efade · inbound

Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.

Generalization in LLM Problem Solving: The Case of the Shortest Path Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 7

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Observation db4eb563-96aa-4d12-9672-69cfe27f1e89 · inbound

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping cites this paper.

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 6

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Observation dbb801d3-d95d-4221-8c25-ca90905e7e47 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 2020

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