Paper Citation Record · LEDGER

Partial Identifiability and Misspecification in Inverse Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2411.15951.

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

pith.paper-citation-record.v1
2411.15951 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:50:13.603812Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:55:16.880044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:26:20.510085Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy27
unresolved24
parse uncertain6
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67dbab1b-050f-4a64-a763-cabdaa2ed782 · outbound

This paper cites Note that f (I(x)) = x for all x ∈ X.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Note that f (I(x)) = x for all x ∈ X

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.430703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3e6f3ac-ca2f-441e-b810-47d7f80de2b2 · outbound

This paper cites Definition 78 is simply directly analogous to Definition 7, except that it makes the assumption that the learning algorithm L uses the inductive bias described by L.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Definition 78 is simply directly analogous to Definition 7, except that it makes the assumption that the learning algorithm L uses the inductive bias described by L

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.479704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3a0072d4-0fad-4c9e-800c-cca205bfab06 · outbound

This paper cites To show that f is P -robust to misspecification with g using I, we must show that the following two conditions hold:.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning To show that f is P -robust to misspecification with g using I, we must show that the following two conditions hold:

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.449685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71bbec50-c449-41a8-ae63-538820e36103 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 8

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T13:50:14.507801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 729fb2cd-ed96-4245-84d6-58fcb9cbcd50 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 9

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T13:50:14.492890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9a3cdf73-dd5f-4dc5-9a5e-42bef3836c02 · outbound

This paper cites To show that f is P -robust to misspecification with g, we must show that the following two conditions hold:.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning To show that f is P -robust to misspecification with g, we must show that the following two conditions hold:

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.414368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f893471-18a7-4a9d-b494-0b85a5cba242 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.465392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f118f5e1-8088-4790-92ca-4f15d0137ac2 · outbound

This paper cites low complexity.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning low complexity

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.399658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 630751df-b133-4134-b48d-ed3407576000 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.386400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46d996e6-5bca-4e57-b859-ce1a5b060359 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.371738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c1afd549-d35a-49bf-8fff-0c5c4e8cb6c7 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.358779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9ad1d99-373d-4b6f-97fa-230c21f3d3df · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.345226Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab0c0d8e-3df4-413b-832a-6db4da5bd5f3 · outbound

This paper cites slippery.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning slippery

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.333132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cbd6cd26-7c5c-4239-8477-dc2ccd53a294 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.319486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec62a08d-6383-4ab4-b7fd-5cf68c1b10c0 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.302829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29a607bf-9c10-4b5a-b84d-846a5968888a · outbound

This paper cites For the first condition, suppose f (R1) = g(R2), which implies that f (R1) = f ◦ t(R2).

Partial Identifiability and Misspecification in Inverse Reinforcement Learning For the first condition, suppose f (R1) = g(R2), which implies that f (R1) = f ◦ t(R2)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.284487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f94606a4-0e7d-4c90-ad55-63e12eef7a02 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 21

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T13:50:14.263468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0949b846-39e8-4836-beec-80d9ae4e4d3e · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.246612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 895631b8-479e-4115-8e33-c1d33d6ecb9e · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.232739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9085be1a-823f-4047-aaea-6d4b8f2eb878 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.219197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 102bdc90-2521-41c6-be3b-8aea4ed69432 · outbound

This paper cites R1(s, a, S′) + γα log X a′∈A exp 1 α QS α,1(S′, a′) # for all s, a. Since R2(s, a, s′) = R1(s, a, s′) + γ · Φ(s′) − Φ(s), we can rewrite the right-hand side of this equation as E.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning R1(s, a, S′) + γα log X a′∈A exp 1 α QS α,1(S′, a′) # for all s, a. Since R2(s, a, s′) = R1(s, a, s′) + γ · Φ(s′) − Φ(s), we can rewrite the right-hand side of this equation as E

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.206010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca7b775e-b890-4352-a69a-164dc80ca4cd · outbound

This paper cites We next note a few basic algebraic properties of our transformations: Proposition 92.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning We next note a few basic algebraic properties of our transformations: Proposition 92

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.190548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8b52b8b-a186-4e8e-bad5-41807fad7438 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.155767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42640830-32d3-4cdb-8b3e-0eea1e521696 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.142753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 168caf7e-40b8-4cd6-bf36-abbaecce1189 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.171417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1269cfcd-6041-4754-8fc8-b9ce5c6bcecd · outbound

This paper cites We then have that.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning We then have that

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.130006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f21bd1a-f3a1-44d4-944e-da2273b91a9f · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.116089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98df93f3-efff-46b9-b92a-78bea7b27acb · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.101219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6df240a2-8b6c-4bcc-aa4b-5e99db409c2f · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.082380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc2e8c6f-1d0a-4c9c-a671-bc69dcc375e8 · outbound

This paper cites The case where T1 or T2 is CS is covered by the above cases, since CS ⊆ PSγ.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning The case where T1 or T2 is CS is covered by the above cases, since CS ⊆ PSγ

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.066473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af2363bc-7a44-433b-b52c-1ccd4680fd8c · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.051345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af6b6a58-de4a-48d5-9a0b-05dbb0b3c582 · outbound

This paper cites We will show that m and Π+ satisfy the requirements of this theorem.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning We will show that m and Π+ satisfy the requirements of this theorem

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:14.035805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ff89e1e3-467b-4e65-ad31-209bafc37b95 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:14.019564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c5289d3-3a41-48a7-8e14-c53046574d59 · outbound

This paper cites 122 We first show that c is linear.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning 122 We first show that c is linear

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.998988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db22b816-1980-4884-a9ff-915763df82e1 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:13.984361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10913a72-0d1f-4551-99ed-aec170a21b46 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:13.970752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 73868e1c-dcf1-4742-a064-e15814219cb7 · outbound

This paper cites It follows directly from the construction that c is linear.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning It follows directly from the construction that c is linear

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.958594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eaa187da-34f7-485d-8b15-f54451ccaea6 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:13.946394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f2d36dd-2774-42f0-83fe-ed081628d9d5 · outbound

This paper cites It is straightforward that c is linear, since it is a projection map.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning It is straightforward that c is linear, since it is a projection map

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.934188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 48a4b034-4c6c-4117-90b3-c2f95730d80f · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:13.921196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3398609-42f2-4ed4-961e-23751312599a · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:13.906976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d0bb1d8-d1aa-4cb4-9030-e08eccfafcce · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:50:13.890777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74b7fbd8-ea65-4b4f-9002-5641d131cbdf · outbound

This paper cites if” part holds straightforwardly. For the “only if.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning if” part holds straightforwardly. For the “only if

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.873097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd2fe449-61c3-4247-b24f-34a1c5f9b9f7 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 49

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T13:50:13.857635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2e4e447-d4e7-4ed8-ac48-c93b2fd4ff52 · outbound

This paper cites ∞X t=0 γtR1(St, At, St+1) # − Eξ∼π.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning ∞X t=0 γtR1(St, At, St+1) # − Eξ∼π

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.842499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4bf90ece-f8a3-422f-a2f3-7bfbdf9fc04c · outbound

This paper cites R(s, a, S′) + γα log X a′∈A exp 1 α QS α,1(S′, a′) # . This can be rewritten as E [R1(s, a, S′)] = QS α,1(s, a) − E.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning R(s, a, S′) + γα log X a′∈A exp 1 α QS α,1(S′, a′) # . This can be rewritten as E [R1(s, a, S′)] = QS α,1(s, a) − E

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.822810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7b8dd40-98e8-42c1-b194-12c60dc43345 · outbound

This paper cites 150 Proof.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning 150 Proof

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.805473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29a683a5-3abe-4310-b1b8-447abd8eb823 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 53

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T13:50:13.787875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 939cbdb6-c2e0-4253-9b57-0d57454c3be8 · outbound

This paper cites an unresolved cited work.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Unresolved cited work

Reference 54

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T13:50:13.773659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0ce61611-3b80-4208-966b-484c92da29b9 · outbound

This paper cites state-valued.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning state-valued

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.759319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5a2371e-c249-4599-8679-e02fc75d05a6 · outbound

This paper cites Since the hypotenuse is 1, we have that sin(θ/2) = ϵ′/2.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Since the hypotenuse is 1, we have that sin(θ/2) = ϵ′/2

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.738132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e703269-d2f6-4bc6-9fe7-481f3179c1cc · outbound

This paper cites Since R and cSTARC τ,γ (R) differ by potential shaping and S′-redistribution, this transformation can be expressed as a combina- tion of potential shaping andS′-redistribution.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Since R and cSTARC τ,γ (R) differ by potential shaping and S′-redistribution, this transformation can be expressed as a combina- tion of potential shaping andS′-redistribution

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.722701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d1a4db6-1ffb-410d-bb68-2473e10eea22 · outbound

This paper cites This transformation is an instance of positive linear scaling.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning This transformation is an instance of positive linear scaling

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.705465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9eb3d7d5-c574-4ff3-a6ae-687135eec482 · outbound

This paper cites This trans- formation is an instance of positive linear scaling.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning This trans- formation is an instance of positive linear scaling

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.691437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e442c5a2-4c7c-44d0-8fe5-cc3a57e2889f · outbound

This paper cites This will move R′′′ by a distance equal to (1 + y) sin(2 arcsin(ϵ′/2)), where (1 + y) = L2(R′′′).

Partial Identifiability and Misspecification in Inverse Reinforcement Learning This will move R′′′ by a distance equal to (1 + y) sin(2 arcsin(ϵ′/2)), where (1 + y) = L2(R′′′)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.677218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0245b43-f297-4e95-b2d8-4362bb221bce · outbound

This paper cites Since sSTARC τ,γ (t(R)) is simply a normalised version of cSTARC τ,γ (t(R)), this is an instance of positive linear scaling.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Since sSTARC τ,γ (t(R)) is simply a normalised version of cSTARC τ,γ (t(R)), this is an instance of positive linear scaling

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.661976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b6f25e2-d177-4e85-a8d1-7e74350b0f1d · outbound

This paper cites Since t(R) and cSTARC τ,γ (t(R)) differ by potential shaping and S′-redistribution, this transformation can be expressed as a combination of potential shaping and S′-redistribution.

Partial Identifiability and Misspecification in Inverse Reinforcement Learning Since t(R) and cSTARC τ,γ (t(R)) differ by potential shaping and S′-redistribution, this transformation can be expressed as a combination of potential shaping and S′-redistribution

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:50:13.647469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation eec3f65c-5086-4404-bfc2-abf5fbc2384c · inbound

Causal Foundations of Collective Agency cites this paper.

Causal Foundations of Collective Agency Partial Identifiability and Misspecification in Inverse Reinforcement Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:20.598479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.