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Paper Citation Record · LEDGER

How Do Transformers Learn Variable Binding in Symbolic Programs?

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 5 inbound Pith citation observations for arXiv:2505.20896.

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

pith.paper-citation-record.v1
2505.20896 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:50:10.446055Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:57:08.127769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.104464Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 790663cc-956d-4ca4-83d9-283c2770bb8c · outbound

This paper cites write newline.

How Do Transformers Learn Variable Binding in Symbolic Programs? write newline

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2da02e3a-c05b-4b16-9a50-70e86586493f · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8209d497-689d-47bb-9492-a5a77e8b1112 · outbound

This paper cites Layer Normalization.

How Do Transformers Learn Variable Binding in Symbolic Programs? Layer Normalization

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:05.267517Z digest=sha256:f8163d904beb7dcd7ddf7407dd419aa9e77f8afa0f5ad8fb91287b252021a90f

Observation 485dad34-ecc5-4738-b6d9-902590a27cf9 · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7146ba49-059f-49cd-88f1-51961cd36b84 · outbound

This paper cites D., Schlichtkrull, M.

How Do Transformers Learn Variable Binding in Symbolic Programs? D., Schlichtkrull, M

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:05.503814Z digest=sha256:752d806046779032763c63008095ce93d7e742fec92410fd82c922136852b3a4

Observation 886a3397-8170-4ba7-9d6b-316069b3459e · outbound

This paper cites D., Schmid, L., Hupkes, D., and Titov, I.

How Do Transformers Learn Variable Binding in Symbolic Programs? D., Schmid, L., Hupkes, D., and Titov, I

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 54bae7f5-2152-4eea-87b5-02ce0dfe1bd0 · outbound

This paper cites Causal scrubbing, a method for rigorously testing interpretability hypotheses.

How Do Transformers Learn Variable Binding in Symbolic Programs? Causal scrubbing, a method for rigorously testing interpretability hypotheses

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d2f30315-43b8-467d-a715-d7ea4fce2871 · outbound

This paper cites Are neural nets modular? inspecting functional modularity through differentiable weight masks.

How Do Transformers Learn Variable Binding in Symbolic Programs? Are neural nets modular? inspecting functional modularity through differentiable weight masks

Reference 8

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raw_fallback, observed 2026-08-07T13:50:15.235491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:05.981123Z digest=sha256:da1f707edf7ca9746bb05a60d41d75a8ad5aef7111ee13b1608673eb9c1b743d

Observation b7fd3691-7c91-44c4-96f5-8f9ec9f1614e · outbound

This paper cites Representational Analysis of Binding in Language Models.

How Do Transformers Learn Variable Binding in Symbolic Programs? Representational Analysis of Binding in Language Models

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 755b4f8f-ac79-4b01-bef7-2381e9a7d276 · outbound

This paper cites Discovering Variable Binding Circuitry with Desiderata.

How Do Transformers Learn Variable Binding in Symbolic Programs? Discovering Variable Binding Circuitry with Desiderata

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:06.347611Z digest=sha256:e0a4e97c15bea9b4d60d79a38c05cba4245c675f27494f11289779f9f3c9626a

Observation 861ab519-de3c-499f-adcc-a734b20a7117 · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4b07a2d2-e807-40a7-9c27-abd2d94b61ec · outbound

This paper cites and Steinhardt, J.

How Do Transformers Learn Variable Binding in Symbolic Programs? and Steinhardt, J

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:06.750186Z digest=sha256:ddbeb3e61c28f0de4b5432a8137c1307fbfff5f22e47ea85af3bf4044bbd5b38

Observation 1034321e-acb8-4785-8960-2fdd6297720a · outbound

This paper cites and Steinhardt, J.

How Do Transformers Learn Variable Binding in Symbolic Programs? and Steinhardt, J

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3796cca7-0046-44af-9df7-74711e434061 · outbound

This paper cites Monitoring Latent World States in Language Models with Propositional Probes , June 2024.

How Do Transformers Learn Variable Binding in Symbolic Programs? Monitoring Latent World States in Language Models with Propositional Probes , June 2024

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5136d1c0-a587-475c-811c-b1e34a5153af · outbound

This paper cites and King, A.

How Do Transformers Learn Variable Binding in Symbolic Programs? and King, A

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 390edfd7-026a-476e-85bc-14b6fde05e00 · outbound

This paper cites Neural natural language inference models partially embed theories of lexical entailment and negation.

How Do Transformers Learn Variable Binding in Symbolic Programs? Neural natural language inference models partially embed theories of lexical entailment and negation

Reference 16

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:07.368506Z digest=sha256:fc10dd6710e7014e2654d84498caad549c32ded2b205b70afca620ba9cd438ff

Observation 33082fb5-34c6-47b9-a166-640058c08c7a · outbound

This paper cites Causal abstractions of neural networks.

How Do Transformers Learn Variable Binding in Symbolic Programs? Causal abstractions of neural networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:13.935220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:07.500599Z digest=sha256:80d9eb4ce19514bb664029ba4276d6c8d4af7aa1815adab262f230721ba07251

Observation c47790f2-5683-4dac-8f9c-dbdcddadee20 · outbound

This paper cites C., and Potts, C.

How Do Transformers Learn Variable Binding in Symbolic Programs? C., and Potts, C

Reference 18

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:07.684635Z digest=sha256:4e529efef8a932ae8abede4a520548376f5879e1a7fcf470e302715325a2e66c

Observation 60b65955-83ca-44f0-98ca-bf7a822f87cd · outbound

This paper cites Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.

How Do Transformers Learn Variable Binding in Symbolic Programs? Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c20c7ce7-2c68-48ee-8504-30bb4edc5fd0 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

How Do Transformers Learn Variable Binding in Symbolic Programs? Gaussian Error Linear Units (GELUs)

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:07.945135Z digest=sha256:ab7df110ade60f1b5b2df48043f3815bf5d09a7a7023ea3b8d42551c61af3198

Observation 41c31ea3-b8a6-42b9-907f-ec071cbe9237 · outbound

This paper cites S., Michaud, E., Tegmark, M., and Williams, M.

How Do Transformers Learn Variable Binding in Symbolic Programs? S., Michaud, E., Tegmark, M., and Williams, M

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:13.717023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 180baef2-2efe-4477-9efd-3bcd7ed26d21 · outbound

This paper cites Decoupled Weight Decay Regularization.

How Do Transformers Learn Variable Binding in Symbolic Programs? Decoupled Weight Decay Regularization

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65211d17-79fe-43a4-870e-a943ca65811c · outbound

This paper cites Predicting inductive biases of pre-trained models.

How Do Transformers Learn Variable Binding in Symbolic Programs? Predicting inductive biases of pre-trained models

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7f23c211-e615-4ab1-8f78-281645e158d1 · outbound

This paper cites Hashhop: Long context evaluation.

How Do Transformers Learn Variable Binding in Symbolic Programs? Hashhop: Long context evaluation

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 69d65ec7-5e79-4622-8c04-a27a7248d3cf · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ad4afa0d-b1e5-4f9d-943e-d2b83c296ff6 · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:08.875560Z digest=sha256:1be626ef5d676e3b30e6b9817209f1b6313ba7a8e0bea04efd645f09716ae150

Observation 38362840-46e8-4301-8216-8c286c3e5dcd · outbound

This paper cites F., Vijayan, S., Rao, S.

How Do Transformers Learn Variable Binding in Symbolic Programs? F., Vijayan, S., Rao, S

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T13:50:13.026695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:08.983981Z digest=sha256:728675947bb1337b0a3349b0af1c0ed3dc4588bf85b1b1d886e48229350d43eb

Observation 1ba7672e-6891-44c6-9660-f9c64078a08c · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

How Do Transformers Learn Variable Binding in Symbolic Programs? UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 28

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no resolver link, observed 2026-08-07T13:50:09.050519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:09.050519Z digest=sha256:29c47efb1225462e7f61bfeff174402394b89ed6c6ae452e3aeefa95e8ef10c6

Observation 0b1da28c-5298-4e06-bbe9-9400cda60024 · outbound

This paper cites J., and Belinkov, Y.

How Do Transformers Learn Variable Binding in Symbolic Programs? J., and Belinkov, Y

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T13:50:12.860371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 191bb10d-048d-410c-8264-9b0467b3801c · outbound

This paper cites A tale of two circuits: Grokking as competition of sparse and dense subnetworks.

How Do Transformers Learn Variable Binding in Symbolic Programs? A tale of two circuits: Grokking as competition of sparse and dense subnetworks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:12.681514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:09.242075Z digest=sha256:4fd5653ec0636a132487440c382b816df08f93d09a5eb457be5b6d7b9a024004

Observation 9b666188-da79-4e2c-ac65-58ffca101649 · outbound

This paper cites S., Sun, J., Todd, E., Bau, D., and Belinkov, Y.

How Do Transformers Learn Variable Binding in Symbolic Programs? S., Sun, J., Todd, E., Bau, D., and Belinkov, Y

Reference 31

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no resolver link, observed 2026-08-07T13:50:09.330362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:09.330362Z digest=sha256:4ceb2a8552a0c1c1dd6090fdef5fd6405362125cd33edfcee8a6eda8048da00a

Observation 6f7f1153-0400-4a86-b9db-fba564f26305 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

How Do Transformers Learn Variable Binding in Symbolic Programs? Progress measures for grokking via mechanistic interpretability

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:12.526060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 504870ea-af48-4bfd-af8b-5e25884db169 · outbound

This paper cites R., Haklay, T., Belinkov, Y., and Bau, D.

How Do Transformers Learn Variable Binding in Symbolic Programs? R., Haklay, T., Belinkov, Y., and Bau, D

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T13:50:12.339552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:09.538881Z digest=sha256:4364d4184b2d9ec4e50d6bdf3cff3fe6a66563a536404a183c57f6242ad5ae9e

Observation 8559864f-e3aa-47bd-979e-5d33e1a01751 · outbound

This paper cites Language models are unsupervised multitask learners.

How Do Transformers Learn Variable Binding in Symbolic Programs? Language models are unsupervised multitask learners

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:09.633083Z digest=sha256:1e77cc19e6129453690b6a49aab1d71ab70374b8f60a5b629b281e50ce78bc8a

Observation f09fcbb4-94b3-47cd-8c17-00a19976dbbc · outbound

This paper cites and Wiegreffe, S.

How Do Transformers Learn Variable Binding in Symbolic Programs? and Wiegreffe, S

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T13:50:12.124086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7942d6b8-edfb-4f21-b091-d9f10c7b3e3f · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 36

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:09.819548Z digest=sha256:f305724db9b12210a53aeeb334f43726c85c837dfb37fde1f37ec17b27a848f3

Observation 205d12fc-a0fd-49b2-8b6b-d2f7078670b5 · outbound

This paper cites an unresolved cited work.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-07T13:50:11.740324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:09.906938Z digest=sha256:60c376c1cda67b03b39c8620d64aed67eb78e6c3d9b831a8950e72bf623f46a6

Observation 4591e58e-693c-4a8d-b7f6-dc5599d4d472 · outbound

This paper cites Open Problems in Mechanistic Interpretability.

How Do Transformers Learn Variable Binding in Symbolic Programs? Open Problems in Mechanistic Interpretability

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:09.978542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:09.978542Z digest=sha256:641c64d4993f74d57f37510121f86a3c4813a92d722046daacbb9ad67421f736

Observation 35eb6fb9-dc93-4c74-892a-57204211c392 · outbound

This paper cites Tensor product variable binding and the representation of symbolic structures in connectionist systems.

How Do Transformers Learn Variable Binding in Symbolic Programs? Tensor product variable binding and the representation of symbolic structures in connectionist systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:10.121182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:10.121182Z digest=sha256:e9bd87edacf6d1b8a1b0a42df15b6b2489daea4490ae3d7751161b332db04f67

Observation 8c1eb90f-87b5-4781-893b-7e16ef55176c · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

How Do Transformers Learn Variable Binding in Symbolic Programs? Roformer: Enhanced transformer with rotary position embedding

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:10.184696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:50:10.184696Z digest=sha256:f854494e2f65e789d4878d43b71001eeda975e5dcc5b31672b4f48e80b9813e9

Observation 6e7571e4-657e-46a0-9ed6-599debba5df0 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

How Do Transformers Learn Variable Binding in Symbolic Programs? N., Kaiser, ., and Polosukhin, I

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:11.567779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:10.258577Z digest=sha256:4f834230df6ed3d4ab3198c8077bf6bd05b9a8fbce8c674f08d6e54a81e2c4db

Observation 8c1cdd81-da35-47f5-bcd8-5288b82e5799 · outbound

This paper cites Investigating gender bias in language models using causal mediation analysis.

How Do Transformers Learn Variable Binding in Symbolic Programs? Investigating gender bias in language models using causal mediation analysis

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:11.345955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:10.344617Z digest=sha256:5886e7bfb47e925af73152572045737447d8fcbc542e52cf1fad651bd52767c1

Observation 6b568520-53f4-4172-b43a-cfc80959e6ab · outbound

This paper cites Unveiling transformers with LEGO : A synthetic reasoning task, 2023.

How Do Transformers Learn Variable Binding in Symbolic Programs? Unveiling transformers with LEGO : A synthetic reasoning task, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:11.153216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T13:50:10.446055Z digest=sha256:c5ccb8a7f8e340f2e5a97e53372cfae5bc1ad50ff957390393b055b2179c4437

Pith citing papers

Observation faa8ded1-7880-4a76-9615-01489e70ff03 · inbound

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task cites this paper.

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task How Do Transformers Learn Variable Binding in Symbolic Programs?

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:16:07.537276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:34:02.796850Z digest=sha256:1de0973063018e8d7c39f8b903b44fabaa816978a81e077e6bc3731c4103d3ba

Observation c5c6d36a-4c53-48d0-8fea-ee20128a7f39 · inbound

When Symbol Names Should Not Matter: A Logistic Theory of Fresh-Symbol Classification cites this paper.

When Symbol Names Should Not Matter: A Logistic Theory of Fresh-Symbol Classification How Do Transformers Learn Variable Binding in Symbolic Programs?

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:52.261329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T01:28:41.227355Z digest=sha256:9deee44435c82c4977220a1e19decc9abeee5d373695bd5590d04065779f9cd9

Observation a57121f8-a65e-4fe4-a363-5fbacde6e7f0 · inbound

Assign and Add: A Mechanistic Study of Compositional Arithmetic cites this paper.

Assign and Add: A Mechanistic Study of Compositional Arithmetic How Do Transformers Learn Variable Binding in Symbolic Programs?

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.908260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:57:08.127769Z digest=sha256:1820020c14c1ee5b7761baef8faa2310596de1dd82735cd35c0cf17c887300a2

Observation 13e0fe76-b9fb-4612-a7a8-90d33989f234 · inbound

Formalizing the Binding Problem cites this paper.

Formalizing the Binding Problem How Do Transformers Learn Variable Binding in Symbolic Programs?

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:29.847762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T10:21:50.279366Z digest=sha256:20ac41cc68421bd551ba6df8013c544841f5d8b532232d5399e670927981a120

Observation 867b183c-e7f6-40d8-b8c5-d48ab4ca12f3 · inbound

Radical AI Interpretability cites this paper.

Radical AI Interpretability How Do Transformers Learn Variable Binding in Symbolic Programs?

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:09:51.105712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T05:26:47.854890Z digest=sha256:f6b7b8f212cb53d1cc9a0f12f7a95877fb3f227dc8402fd82cef750790469e44